Overview

Dataset statistics

Number of variables151
Number of observations1010
Missing cells608
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 MiB
Average record size in memory1.8 KiB

Variable types

Numeric5
Categorical145
Boolean1

Alerts

Music is highly imbalanced (60.3%)Imbalance
Left - right handed is highly imbalanced (53.0%)Imbalance
Passive sport has 15 (1.5%) missing valuesMissing
Height has 20 (2.0%) missing valuesMissing
Weight has 20 (2.0%) missing valuesMissing
Participant Number is uniformly distributedUniform
Participant Number has unique valuesUnique
Number of siblings has 163 (16.1%) zerosZeros

Reproduction

Analysis started2024-03-31 16:21:53.414441
Analysis finished2024-03-31 16:22:33.966776
Duration40.55 seconds
Software versionydata-profiling vv4.7.0
Download configurationconfig.json

Variables

Participant Number
Real number (ℝ)

UNIFORM  UNIQUE 

Distinct1010
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean505.5
Minimum1
Maximum1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2024-03-31T21:52:34.212704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile51.45
Q1253.25
median505.5
Q3757.75
95-th percentile959.55
Maximum1010
Range1009
Interquartile range (IQR)504.5

Descriptive statistics

Standard deviation291.70619
Coefficient of variation (CV)0.57706466
Kurtosis-1.2
Mean505.5
Median Absolute Deviation (MAD)252.5
Skewness0
Sum510555
Variance85092.5
MonotonicityStrictly increasing
2024-03-31T21:52:34.594250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
679 1
 
0.1%
666 1
 
0.1%
667 1
 
0.1%
668 1
 
0.1%
669 1
 
0.1%
670 1
 
0.1%
671 1
 
0.1%
672 1
 
0.1%
673 1
 
0.1%
Other values (1000) 1000
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1010 1
0.1%
1009 1
0.1%
1008 1
0.1%
1007 1
0.1%
1006 1
0.1%
1005 1
0.1%
1004 1
0.1%
1003 1
0.1%
1002 1
0.1%
1001 1
0.1%

Music
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
5.0
822 
4.0
129 
3.0
 
36
2.0
 
11
1.0
 
9

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row4.0
3rd row5.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 822
81.4%
4.0 129
 
12.8%
3.0 36
 
3.6%
2.0 11
 
1.1%
1.0 9
 
0.9%
(Missing) 3
 
0.3%

Length

2024-03-31T21:52:34.940418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:35.205986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 822
81.6%
4.0 129
 
12.8%
3.0 36
 
3.6%
2.0 11
 
1.1%
1.0 9
 
0.9%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
5 822
27.2%
4 129
 
4.3%
3 36
 
1.2%
2 11
 
0.4%
1 9
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
5 822
40.8%
4 129
 
6.4%
3 36
 
1.8%
2 11
 
0.5%
1 9
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
5 822
27.2%
4 129
 
4.3%
3 36
 
1.2%
2 11
 
0.4%
1 9
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
5 822
27.2%
4 129
 
4.3%
3 36
 
1.2%
2 11
 
0.4%
1 9
 
0.3%
Distinct5
Distinct (%)0.5%
Missing2
Missing (%)0.2%
Memory size59.3 KiB
3.0
580 
4.0
235 
5.0
104 
2.0
66 
1.0
 
23

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3024
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row4.0
3rd row5.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 580
57.4%
4.0 235
23.3%
5.0 104
 
10.3%
2.0 66
 
6.5%
1.0 23
 
2.3%
(Missing) 2
 
0.2%

Length

2024-03-31T21:52:35.501324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:35.770282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 580
57.5%
4.0 235
23.3%
5.0 104
 
10.3%
2.0 66
 
6.5%
1.0 23
 
2.3%

Most occurring characters

ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 580
19.2%
4 235
 
7.8%
5 104
 
3.4%
2 66
 
2.2%
1 23
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
66.7%
Other Punctuation 1008
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1008
50.0%
3 580
28.8%
4 235
 
11.7%
5 104
 
5.2%
2 66
 
3.3%
1 23
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 1008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 580
19.2%
4 235
 
7.8%
5 104
 
3.4%
2 66
 
2.2%
1 23
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 580
19.2%
4 235
 
7.8%
5 104
 
3.4%
2 66
 
2.2%
1 23
 
0.8%

Dance
Categorical

Distinct5
Distinct (%)0.5%
Missing4
Missing (%)0.4%
Memory size59.3 KiB
3.0
321 
4.0
235 
2.0
215 
5.0
141 
1.0
94 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3018
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row4.0

Common Values

ValueCountFrequency (%)
3.0 321
31.8%
4.0 235
23.3%
2.0 215
21.3%
5.0 141
14.0%
1.0 94
 
9.3%
(Missing) 4
 
0.4%

Length

2024-03-31T21:52:36.076310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:36.403480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 321
31.9%
4.0 235
23.4%
2.0 215
21.4%
5.0 141
14.0%
1.0 94
 
9.3%

Most occurring characters

ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 321
 
10.6%
4 235
 
7.8%
2 215
 
7.1%
5 141
 
4.7%
1 94
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2012
66.7%
Other Punctuation 1006
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1006
50.0%
3 321
 
16.0%
4 235
 
11.7%
2 215
 
10.7%
5 141
 
7.0%
1 94
 
4.7%
Other Punctuation
ValueCountFrequency (%)
. 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 321
 
10.6%
4 235
 
7.8%
2 215
 
7.1%
5 141
 
4.7%
1 94
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 321
 
10.6%
4 235
 
7.8%
2 215
 
7.1%
5 141
 
4.7%
1 94
 
3.1%

Folk
Categorical

Distinct5
Distinct (%)0.5%
Missing5
Missing (%)0.5%
Memory size59.3 KiB
2.0
336 
1.0
290 
3.0
235 
4.0
87 
5.0
57 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3015
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
2.0 336
33.3%
1.0 290
28.7%
3.0 235
23.3%
4.0 87
 
8.6%
5.0 57
 
5.6%
(Missing) 5
 
0.5%

Length

2024-03-31T21:52:36.716095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:36.980643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2.0 336
33.4%
1.0 290
28.9%
3.0 235
23.4%
4.0 87
 
8.7%
5.0 57
 
5.7%

Most occurring characters

ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
2 336
 
11.1%
1 290
 
9.6%
3 235
 
7.8%
4 87
 
2.9%
5 57
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2010
66.7%
Other Punctuation 1005
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1005
50.0%
2 336
 
16.7%
1 290
 
14.4%
3 235
 
11.7%
4 87
 
4.3%
5 57
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 1005
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3015
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
2 336
 
11.1%
1 290
 
9.6%
3 235
 
7.8%
4 87
 
2.9%
5 57
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3015
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
2 336
 
11.1%
1 290
 
9.6%
3 235
 
7.8%
4 87
 
2.9%
5 57
 
1.9%

Country
Categorical

Distinct5
Distinct (%)0.5%
Missing5
Missing (%)0.5%
Memory size59.3 KiB
2.0
346 
1.0
343 
3.0
198 
4.0
85 
5.0
 
33

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3015
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row3.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 346
34.3%
1.0 343
34.0%
3.0 198
19.6%
4.0 85
 
8.4%
5.0 33
 
3.3%
(Missing) 5
 
0.5%

Length

2024-03-31T21:52:37.276251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:37.540775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2.0 346
34.4%
1.0 343
34.1%
3.0 198
19.7%
4.0 85
 
8.5%
5.0 33
 
3.3%

Most occurring characters

ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
2 346
 
11.5%
1 343
 
11.4%
3 198
 
6.6%
4 85
 
2.8%
5 33
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2010
66.7%
Other Punctuation 1005
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1005
50.0%
2 346
 
17.2%
1 343
 
17.1%
3 198
 
9.9%
4 85
 
4.2%
5 33
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 1005
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3015
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
2 346
 
11.5%
1 343
 
11.4%
3 198
 
6.6%
4 85
 
2.8%
5 33
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3015
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
2 346
 
11.5%
1 343
 
11.4%
3 198
 
6.6%
4 85
 
2.8%
5 33
 
1.1%

Classical music
Categorical

Distinct5
Distinct (%)0.5%
Missing7
Missing (%)0.7%
Memory size59.3 KiB
3.0
281 
2.0
249 
4.0
189 
5.0
146 
1.0
138 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3009
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row4.0
4th row1.0
5th row4.0

Common Values

ValueCountFrequency (%)
3.0 281
27.8%
2.0 249
24.7%
4.0 189
18.7%
5.0 146
14.5%
1.0 138
13.7%
(Missing) 7
 
0.7%

Length

2024-03-31T21:52:37.837318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:38.113494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 281
28.0%
2.0 249
24.8%
4.0 189
18.8%
5.0 146
14.6%
1.0 138
13.8%

Most occurring characters

ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
3 281
 
9.3%
2 249
 
8.3%
4 189
 
6.3%
5 146
 
4.9%
1 138
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2006
66.7%
Other Punctuation 1003
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1003
50.0%
3 281
 
14.0%
2 249
 
12.4%
4 189
 
9.4%
5 146
 
7.3%
1 138
 
6.9%
Other Punctuation
ValueCountFrequency (%)
. 1003
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3009
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
3 281
 
9.3%
2 249
 
8.3%
4 189
 
6.3%
5 146
 
4.9%
1 138
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3009
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
3 281
 
9.3%
2 249
 
8.3%
4 189
 
6.3%
5 146
 
4.9%
1 138
 
4.6%

Musical
Categorical

Distinct5
Distinct (%)0.5%
Missing2
Missing (%)0.2%
Memory size59.3 KiB
3.0
283 
2.0
248 
1.0
195 
4.0
166 
5.0
116 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3024
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row5.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 283
28.0%
2.0 248
24.6%
1.0 195
19.3%
4.0 166
16.4%
5.0 116
11.5%
(Missing) 2
 
0.2%

Length

2024-03-31T21:52:38.416204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:38.691097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 283
28.1%
2.0 248
24.6%
1.0 195
19.3%
4.0 166
16.5%
5.0 116
11.5%

Most occurring characters

ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 283
 
9.4%
2 248
 
8.2%
1 195
 
6.4%
4 166
 
5.5%
5 116
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
66.7%
Other Punctuation 1008
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1008
50.0%
3 283
 
14.0%
2 248
 
12.3%
1 195
 
9.7%
4 166
 
8.2%
5 116
 
5.8%
Other Punctuation
ValueCountFrequency (%)
. 1008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 283
 
9.4%
2 248
 
8.2%
1 195
 
6.4%
4 166
 
5.5%
5 116
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 283
 
9.4%
2 248
 
8.2%
1 195
 
6.4%
4 166
 
5.5%
5 116
 
3.8%

Pop
Categorical

Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
4.0
314 
3.0
260 
5.0
218 
2.0
155 
1.0
60 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row3.0
3rd row3.0
4th row2.0
5th row5.0

Common Values

ValueCountFrequency (%)
4.0 314
31.1%
3.0 260
25.7%
5.0 218
21.6%
2.0 155
15.3%
1.0 60
 
5.9%
(Missing) 3
 
0.3%

Length

2024-03-31T21:52:38.994067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:39.297845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4.0 314
31.2%
3.0 260
25.8%
5.0 218
21.6%
2.0 155
15.4%
1.0 60
 
6.0%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
4 314
 
10.4%
3 260
 
8.6%
5 218
 
7.2%
2 155
 
5.1%
1 60
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
4 314
 
15.6%
3 260
 
12.9%
5 218
 
10.8%
2 155
 
7.7%
1 60
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
4 314
 
10.4%
3 260
 
8.6%
5 218
 
7.2%
2 155
 
5.1%
1 60
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
4 314
 
10.4%
3 260
 
8.6%
5 218
 
7.2%
2 155
 
5.1%
1 60
 
2.0%

Rock
Categorical

Distinct5
Distinct (%)0.5%
Missing6
Missing (%)0.6%
Memory size59.3 KiB
5.0
343 
4.0
294 
3.0
207 
2.0
105 
1.0
55 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3012
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row5.0
3rd row5.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
5.0 343
34.0%
4.0 294
29.1%
3.0 207
20.5%
2.0 105
 
10.4%
1.0 55
 
5.4%
(Missing) 6
 
0.6%

Length

2024-03-31T21:52:39.595385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:39.883241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 343
34.2%
4.0 294
29.3%
3.0 207
20.6%
2.0 105
 
10.5%
1.0 55
 
5.5%

Most occurring characters

ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
5 343
 
11.4%
4 294
 
9.8%
3 207
 
6.9%
2 105
 
3.5%
1 55
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2008
66.7%
Other Punctuation 1004
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1004
50.0%
5 343
 
17.1%
4 294
 
14.6%
3 207
 
10.3%
2 105
 
5.2%
1 55
 
2.7%
Other Punctuation
ValueCountFrequency (%)
. 1004
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3012
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
5 343
 
11.4%
4 294
 
9.8%
3 207
 
6.9%
2 105
 
3.5%
1 55
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
5 343
 
11.4%
4 294
 
9.8%
3 207
 
6.9%
2 105
 
3.5%
1 55
 
1.8%
Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
1.0
384 
2.0
219 
3.0
164 
4.0
136 
5.0
104 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row4.0
3rd row3.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 384
38.0%
2.0 219
21.7%
3.0 164
16.2%
4.0 136
 
13.5%
5.0 104
 
10.3%
(Missing) 3
 
0.3%

Length

2024-03-31T21:52:40.207081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:40.471653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 384
38.1%
2.0 219
21.7%
3.0 164
16.3%
4.0 136
 
13.5%
5.0 104
 
10.3%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
1 384
 
12.7%
2 219
 
7.2%
3 164
 
5.4%
4 136
 
4.5%
5 104
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
1 384
 
19.1%
2 219
 
10.9%
3 164
 
8.1%
4 136
 
6.8%
5 104
 
5.2%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
1 384
 
12.7%
2 219
 
7.2%
3 164
 
5.4%
4 136
 
4.5%
5 104
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
1 384
 
12.7%
2 219
 
7.2%
3 164
 
5.4%
4 136
 
4.5%
5 104
 
3.4%

Punk
Categorical

Distinct5
Distinct (%)0.5%
Missing8
Missing (%)0.8%
Memory size59.3 KiB
1.0
319 
2.0
227 
3.0
220 
4.0
152 
5.0
84 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3006
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row4.0
3rd row4.0
4th row4.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 319
31.6%
2.0 227
22.5%
3.0 220
21.8%
4.0 152
15.0%
5.0 84
 
8.3%
(Missing) 8
 
0.8%

Length

2024-03-31T21:52:40.807240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:41.068485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 319
31.8%
2.0 227
22.7%
3.0 220
22.0%
4.0 152
15.2%
5.0 84
 
8.4%

Most occurring characters

ValueCountFrequency (%)
. 1002
33.3%
0 1002
33.3%
1 319
 
10.6%
2 227
 
7.6%
3 220
 
7.3%
4 152
 
5.1%
5 84
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2004
66.7%
Other Punctuation 1002
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1002
50.0%
1 319
 
15.9%
2 227
 
11.3%
3 220
 
11.0%
4 152
 
7.6%
5 84
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 1002
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3006
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1002
33.3%
0 1002
33.3%
1 319
 
10.6%
2 227
 
7.6%
3 220
 
7.3%
4 152
 
5.1%
5 84
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3006
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1002
33.3%
0 1002
33.3%
1 319
 
10.6%
2 227
 
7.6%
3 220
 
7.3%
4 152
 
5.1%
5 84
 
2.8%

Hiphop, Rap
Categorical

Distinct5
Distinct (%)0.5%
Missing4
Missing (%)0.4%
Memory size59.3 KiB
4.0
224 
1.0
212 
2.0
206 
3.0
206 
5.0
158 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3018
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row2.0
5th row5.0

Common Values

ValueCountFrequency (%)
4.0 224
22.2%
1.0 212
21.0%
2.0 206
20.4%
3.0 206
20.4%
5.0 158
15.6%
(Missing) 4
 
0.4%

Length

2024-03-31T21:52:41.387805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:41.650660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4.0 224
22.3%
1.0 212
21.1%
2.0 206
20.5%
3.0 206
20.5%
5.0 158
15.7%

Most occurring characters

ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
4 224
 
7.4%
1 212
 
7.0%
2 206
 
6.8%
3 206
 
6.8%
5 158
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2012
66.7%
Other Punctuation 1006
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1006
50.0%
4 224
 
11.1%
1 212
 
10.5%
2 206
 
10.2%
3 206
 
10.2%
5 158
 
7.9%
Other Punctuation
ValueCountFrequency (%)
. 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
4 224
 
7.4%
1 212
 
7.0%
2 206
 
6.8%
3 206
 
6.8%
5 158
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
4 224
 
7.4%
1 212
 
7.0%
2 206
 
6.8%
3 206
 
6.8%
5 158
 
5.2%

Reggae, Ska
Categorical

Distinct5
Distinct (%)0.5%
Missing7
Missing (%)0.7%
Memory size59.3 KiB
3.0
285 
2.0
252 
4.0
195 
1.0
179 
5.0
92 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3009
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row4.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 285
28.2%
2.0 252
25.0%
4.0 195
19.3%
1.0 179
17.7%
5.0 92
 
9.1%
(Missing) 7
 
0.7%

Length

2024-03-31T21:52:41.956514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:42.227098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 285
28.4%
2.0 252
25.1%
4.0 195
19.4%
1.0 179
17.8%
5.0 92
 
9.2%

Most occurring characters

ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
3 285
 
9.5%
2 252
 
8.4%
4 195
 
6.5%
1 179
 
5.9%
5 92
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2006
66.7%
Other Punctuation 1003
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1003
50.0%
3 285
 
14.2%
2 252
 
12.6%
4 195
 
9.7%
1 179
 
8.9%
5 92
 
4.6%
Other Punctuation
ValueCountFrequency (%)
. 1003
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3009
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
3 285
 
9.5%
2 252
 
8.4%
4 195
 
6.5%
1 179
 
5.9%
5 92
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3009
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
3 285
 
9.5%
2 252
 
8.4%
4 195
 
6.5%
1 179
 
5.9%
5 92
 
3.1%

Swing, Jazz
Categorical

Distinct5
Distinct (%)0.5%
Missing6
Missing (%)0.6%
Memory size59.3 KiB
3.0
271 
2.0
231 
1.0
204 
4.0
198 
5.0
100 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3012
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row3.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
3.0 271
26.8%
2.0 231
22.9%
1.0 204
20.2%
4.0 198
19.6%
5.0 100
 
9.9%
(Missing) 6
 
0.6%

Length

2024-03-31T21:52:42.539532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:42.815077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 271
27.0%
2.0 231
23.0%
1.0 204
20.3%
4.0 198
19.7%
5.0 100
 
10.0%

Most occurring characters

ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
3 271
 
9.0%
2 231
 
7.7%
1 204
 
6.8%
4 198
 
6.6%
5 100
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2008
66.7%
Other Punctuation 1004
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1004
50.0%
3 271
 
13.5%
2 231
 
11.5%
1 204
 
10.2%
4 198
 
9.9%
5 100
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 1004
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3012
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
3 271
 
9.0%
2 231
 
7.7%
1 204
 
6.8%
4 198
 
6.6%
5 100
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
3 271
 
9.0%
2 231
 
7.7%
1 204
 
6.8%
4 198
 
6.6%
5 100
 
3.3%

Rock n roll
Categorical

Distinct5
Distinct (%)0.5%
Missing7
Missing (%)0.7%
Memory size59.3 KiB
3.0
298 
4.0
231 
2.0
191 
5.0
167 
1.0
116 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3009
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row4.0
3rd row5.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
3.0 298
29.5%
4.0 231
22.9%
2.0 191
18.9%
5.0 167
16.5%
1.0 116
 
11.5%
(Missing) 7
 
0.7%

Length

2024-03-31T21:52:43.112581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:43.390829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 298
29.7%
4.0 231
23.0%
2.0 191
19.0%
5.0 167
16.7%
1.0 116
 
11.6%

Most occurring characters

ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
3 298
 
9.9%
4 231
 
7.7%
2 191
 
6.3%
5 167
 
5.6%
1 116
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2006
66.7%
Other Punctuation 1003
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1003
50.0%
3 298
 
14.9%
4 231
 
11.5%
2 191
 
9.5%
5 167
 
8.3%
1 116
 
5.8%
Other Punctuation
ValueCountFrequency (%)
. 1003
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3009
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
3 298
 
9.9%
4 231
 
7.7%
2 191
 
6.3%
5 167
 
5.6%
1 116
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3009
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
3 298
 
9.9%
4 231
 
7.7%
2 191
 
6.3%
5 167
 
5.6%
1 116
 
3.9%

Alternative
Categorical

Distinct5
Distinct (%)0.5%
Missing7
Missing (%)0.7%
Memory size59.3 KiB
3.0
247 
2.0
220 
1.0
213 
4.0
172 
5.0
151 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3009
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row4.0
3rd row5.0
4th row5.0
5th row2.0

Common Values

ValueCountFrequency (%)
3.0 247
24.5%
2.0 220
21.8%
1.0 213
21.1%
4.0 172
17.0%
5.0 151
15.0%
(Missing) 7
 
0.7%

Length

2024-03-31T21:52:43.693144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:43.963756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 247
24.6%
2.0 220
21.9%
1.0 213
21.2%
4.0 172
17.1%
5.0 151
15.1%

Most occurring characters

ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
3 247
 
8.2%
2 220
 
7.3%
1 213
 
7.1%
4 172
 
5.7%
5 151
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2006
66.7%
Other Punctuation 1003
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1003
50.0%
3 247
 
12.3%
2 220
 
11.0%
1 213
 
10.6%
4 172
 
8.6%
5 151
 
7.5%
Other Punctuation
ValueCountFrequency (%)
. 1003
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3009
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
3 247
 
8.2%
2 220
 
7.3%
1 213
 
7.1%
4 172
 
5.7%
5 151
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3009
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
3 247
 
8.2%
2 220
 
7.3%
1 213
 
7.1%
4 172
 
5.7%
5 151
 
5.0%

Latino
Categorical

Distinct5
Distinct (%)0.5%
Missing8
Missing (%)0.8%
Memory size59.3 KiB
2.0
250 
3.0
238 
1.0
191 
4.0
172 
5.0
151 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3006
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row5.0
4th row1.0
5th row4.0

Common Values

ValueCountFrequency (%)
2.0 250
24.8%
3.0 238
23.6%
1.0 191
18.9%
4.0 172
17.0%
5.0 151
15.0%
(Missing) 8
 
0.8%

Length

2024-03-31T21:52:44.265171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:44.655312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2.0 250
25.0%
3.0 238
23.8%
1.0 191
19.1%
4.0 172
17.2%
5.0 151
15.1%

Most occurring characters

ValueCountFrequency (%)
. 1002
33.3%
0 1002
33.3%
2 250
 
8.3%
3 238
 
7.9%
1 191
 
6.4%
4 172
 
5.7%
5 151
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2004
66.7%
Other Punctuation 1002
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1002
50.0%
2 250
 
12.5%
3 238
 
11.9%
1 191
 
9.5%
4 172
 
8.6%
5 151
 
7.5%
Other Punctuation
ValueCountFrequency (%)
. 1002
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3006
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1002
33.3%
0 1002
33.3%
2 250
 
8.3%
3 238
 
7.9%
1 191
 
6.4%
4 172
 
5.7%
5 151
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3006
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1002
33.3%
0 1002
33.3%
2 250
 
8.3%
3 238
 
7.9%
1 191
 
6.4%
4 172
 
5.7%
5 151
 
5.0%

Techno, Trance
Categorical

Distinct5
Distinct (%)0.5%
Missing7
Missing (%)0.7%
Memory size59.3 KiB
1.0
380 
2.0
207 
3.0
194 
4.0
140 
5.0
82 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3009
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 380
37.6%
2.0 207
20.5%
3.0 194
19.2%
4.0 140
 
13.9%
5.0 82
 
8.1%
(Missing) 7
 
0.7%

Length

2024-03-31T21:52:45.084651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:45.379626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 380
37.9%
2.0 207
20.6%
3.0 194
19.3%
4.0 140
 
14.0%
5.0 82
 
8.2%

Most occurring characters

ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
1 380
 
12.6%
2 207
 
6.9%
3 194
 
6.4%
4 140
 
4.7%
5 82
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2006
66.7%
Other Punctuation 1003
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1003
50.0%
1 380
 
18.9%
2 207
 
10.3%
3 194
 
9.7%
4 140
 
7.0%
5 82
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 1003
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3009
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
1 380
 
12.6%
2 207
 
6.9%
3 194
 
6.4%
4 140
 
4.7%
5 82
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3009
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
1 380
 
12.6%
2 207
 
6.9%
3 194
 
6.4%
4 140
 
4.7%
5 82
 
2.7%

Opera
Categorical

Distinct5
Distinct (%)0.5%
Missing1
Missing (%)0.1%
Memory size59.3 KiB
1.0
389 
2.0
294 
3.0
175 
4.0
98 
5.0
53 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3027
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row3.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 389
38.5%
2.0 294
29.1%
3.0 175
17.3%
4.0 98
 
9.7%
5.0 53
 
5.2%
(Missing) 1
 
0.1%

Length

2024-03-31T21:52:45.697091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:45.963647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 389
38.6%
2.0 294
29.1%
3.0 175
17.3%
4.0 98
 
9.7%
5.0 53
 
5.3%

Most occurring characters

ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
1 389
 
12.9%
2 294
 
9.7%
3 175
 
5.8%
4 98
 
3.2%
5 53
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2018
66.7%
Other Punctuation 1009
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1009
50.0%
1 389
 
19.3%
2 294
 
14.6%
3 175
 
8.7%
4 98
 
4.9%
5 53
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 1009
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3027
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
1 389
 
12.9%
2 294
 
9.7%
3 175
 
5.8%
4 98
 
3.2%
5 53
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3027
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
1 389
 
12.9%
2 294
 
9.7%
3 175
 
5.8%
4 98
 
3.2%
5 53
 
1.8%

Movies
Categorical

Distinct5
Distinct (%)0.5%
Missing6
Missing (%)0.6%
Memory size59.3 KiB
5.0
720 
4.0
196 
3.0
75 
2.0
 
10
1.0
 
3

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3012
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row5.0
3rd row5.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 720
71.3%
4.0 196
 
19.4%
3.0 75
 
7.4%
2.0 10
 
1.0%
1.0 3
 
0.3%
(Missing) 6
 
0.6%

Length

2024-03-31T21:52:46.263069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:46.535005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 720
71.7%
4.0 196
 
19.5%
3.0 75
 
7.5%
2.0 10
 
1.0%
1.0 3
 
0.3%

Most occurring characters

ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
5 720
23.9%
4 196
 
6.5%
3 75
 
2.5%
2 10
 
0.3%
1 3
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2008
66.7%
Other Punctuation 1004
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1004
50.0%
5 720
35.9%
4 196
 
9.8%
3 75
 
3.7%
2 10
 
0.5%
1 3
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 1004
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3012
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
5 720
23.9%
4 196
 
6.5%
3 75
 
2.5%
2 10
 
0.3%
1 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
5 720
23.9%
4 196
 
6.5%
3 75
 
2.5%
2 10
 
0.3%
1 3
 
0.1%

Horror
Categorical

Distinct5
Distinct (%)0.5%
Missing2
Missing (%)0.2%
Memory size59.3 KiB
1.0
256 
3.0
214 
2.0
198 
4.0
178 
5.0
162 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3024
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row2.0
3rd row3.0
4th row4.0
5th row4.0

Common Values

ValueCountFrequency (%)
1.0 256
25.3%
3.0 214
21.2%
2.0 198
19.6%
4.0 178
17.6%
5.0 162
16.0%
(Missing) 2
 
0.2%

Length

2024-03-31T21:52:46.821017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:47.089601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 256
25.4%
3.0 214
21.2%
2.0 198
19.6%
4.0 178
17.7%
5.0 162
16.1%

Most occurring characters

ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
1 256
 
8.5%
3 214
 
7.1%
2 198
 
6.5%
4 178
 
5.9%
5 162
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
66.7%
Other Punctuation 1008
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1008
50.0%
1 256
 
12.7%
3 214
 
10.6%
2 198
 
9.8%
4 178
 
8.8%
5 162
 
8.0%
Other Punctuation
ValueCountFrequency (%)
. 1008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
1 256
 
8.5%
3 214
 
7.1%
2 198
 
6.5%
4 178
 
5.9%
5 162
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
1 256
 
8.5%
3 214
 
7.1%
2 198
 
6.5%
4 178
 
5.9%
5 162
 
5.4%

Thriller
Categorical

Distinct5
Distinct (%)0.5%
Missing1
Missing (%)0.1%
Memory size59.3 KiB
4.0
314 
3.0
245 
5.0
200 
2.0
173 
1.0
77 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3027
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row4.0
4th row4.0
5th row4.0

Common Values

ValueCountFrequency (%)
4.0 314
31.1%
3.0 245
24.3%
5.0 200
19.8%
2.0 173
17.1%
1.0 77
 
7.6%
(Missing) 1
 
0.1%

Length

2024-03-31T21:52:47.389784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:47.685397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4.0 314
31.1%
3.0 245
24.3%
5.0 200
19.8%
2.0 173
17.1%
1.0 77
 
7.6%

Most occurring characters

ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
4 314
 
10.4%
3 245
 
8.1%
5 200
 
6.6%
2 173
 
5.7%
1 77
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2018
66.7%
Other Punctuation 1009
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1009
50.0%
4 314
 
15.6%
3 245
 
12.1%
5 200
 
9.9%
2 173
 
8.6%
1 77
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 1009
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3027
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
4 314
 
10.4%
3 245
 
8.1%
5 200
 
6.6%
2 173
 
5.7%
1 77
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3027
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
4 314
 
10.4%
3 245
 
8.1%
5 200
 
6.6%
2 173
 
5.7%
1 77
 
2.5%

Comedy
Categorical

Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
5.0
644 
4.0
247 
3.0
90 
2.0
 
22
1.0
 
4

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row4.0
3rd row4.0
4th row3.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 644
63.8%
4.0 247
 
24.5%
3.0 90
 
8.9%
2.0 22
 
2.2%
1.0 4
 
0.4%
(Missing) 3
 
0.3%

Length

2024-03-31T21:52:47.989570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:48.257104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 644
64.0%
4.0 247
 
24.5%
3.0 90
 
8.9%
2.0 22
 
2.2%
1.0 4
 
0.4%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
5 644
21.3%
4 247
 
8.2%
3 90
 
3.0%
2 22
 
0.7%
1 4
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
5 644
32.0%
4 247
 
12.3%
3 90
 
4.5%
2 22
 
1.1%
1 4
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
5 644
21.3%
4 247
 
8.2%
3 90
 
3.0%
2 22
 
0.7%
1 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
5 644
21.3%
4 247
 
8.2%
3 90
 
3.0%
2 22
 
0.7%
1 4
 
0.1%

Romantic
Categorical

Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
3.0
275 
5.0
264 
4.0
248 
2.0
157 
1.0
63 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row3.0
3rd row2.0
4th row3.0
5th row2.0

Common Values

ValueCountFrequency (%)
3.0 275
27.2%
5.0 264
26.1%
4.0 248
24.6%
2.0 157
15.5%
1.0 63
 
6.2%
(Missing) 3
 
0.3%

Length

2024-03-31T21:52:48.556567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:48.828214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 275
27.3%
5.0 264
26.2%
4.0 248
24.6%
2.0 157
15.6%
1.0 63
 
6.3%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 275
 
9.1%
5 264
 
8.7%
4 248
 
8.2%
2 157
 
5.2%
1 63
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
3 275
 
13.7%
5 264
 
13.1%
4 248
 
12.3%
2 157
 
7.8%
1 63
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 275
 
9.1%
5 264
 
8.7%
4 248
 
8.2%
2 157
 
5.2%
1 63
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 275
 
9.1%
5 264
 
8.7%
4 248
 
8.2%
2 157
 
5.2%
1 63
 
2.1%

Sci-fi
Categorical

Distinct5
Distinct (%)0.5%
Missing2
Missing (%)0.2%
Memory size59.3 KiB
3.0
255 
2.0
213 
4.0
209 
5.0
195 
1.0
136 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3024
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row4.0
3rd row4.0
4th row4.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 255
25.2%
2.0 213
21.1%
4.0 209
20.7%
5.0 195
19.3%
1.0 136
13.5%
(Missing) 2
 
0.2%

Length

2024-03-31T21:52:49.135138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:49.411574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 255
25.3%
2.0 213
21.1%
4.0 209
20.7%
5.0 195
19.3%
1.0 136
13.5%

Most occurring characters

ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 255
 
8.4%
2 213
 
7.0%
4 209
 
6.9%
5 195
 
6.4%
1 136
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
66.7%
Other Punctuation 1008
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1008
50.0%
3 255
 
12.6%
2 213
 
10.6%
4 209
 
10.4%
5 195
 
9.7%
1 136
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 1008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 255
 
8.4%
2 213
 
7.0%
4 209
 
6.9%
5 195
 
6.4%
1 136
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 255
 
8.4%
2 213
 
7.0%
4 209
 
6.9%
5 195
 
6.4%
1 136
 
4.5%

War
Categorical

Distinct5
Distinct (%)0.5%
Missing2
Missing (%)0.2%
Memory size59.3 KiB
3.0
260 
5.0
227 
2.0
196 
4.0
183 
1.0
142 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3024
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 260
25.7%
5.0 227
22.5%
2.0 196
19.4%
4.0 183
18.1%
1.0 142
14.1%
(Missing) 2
 
0.2%

Length

2024-03-31T21:52:49.739570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:50.005120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 260
25.8%
5.0 227
22.5%
2.0 196
19.4%
4.0 183
18.2%
1.0 142
14.1%

Most occurring characters

ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 260
 
8.6%
5 227
 
7.5%
2 196
 
6.5%
4 183
 
6.1%
1 142
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
66.7%
Other Punctuation 1008
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1008
50.0%
3 260
 
12.9%
5 227
 
11.3%
2 196
 
9.7%
4 183
 
9.1%
1 142
 
7.0%
Other Punctuation
ValueCountFrequency (%)
. 1008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 260
 
8.6%
5 227
 
7.5%
2 196
 
6.5%
4 183
 
6.1%
1 142
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 260
 
8.6%
5 227
 
7.5%
2 196
 
6.5%
4 183
 
6.1%
1 142
 
4.7%
Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
5.0
361 
3.0
245 
4.0
238 
2.0
121 
1.0
42 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row3.0
3rd row5.0
4th row1.0
5th row4.0

Common Values

ValueCountFrequency (%)
5.0 361
35.7%
3.0 245
24.3%
4.0 238
23.6%
2.0 121
 
12.0%
1.0 42
 
4.2%
(Missing) 3
 
0.3%

Length

2024-03-31T21:52:50.316746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:50.578888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 361
35.8%
3.0 245
24.3%
4.0 238
23.6%
2.0 121
 
12.0%
1.0 42
 
4.2%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
5 361
 
11.9%
3 245
 
8.1%
4 238
 
7.9%
2 121
 
4.0%
1 42
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
5 361
 
17.9%
3 245
 
12.2%
4 238
 
11.8%
2 121
 
6.0%
1 42
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
5 361
 
11.9%
3 245
 
8.1%
4 238
 
7.9%
2 121
 
4.0%
1 42
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
5 361
 
11.9%
3 245
 
8.1%
4 238
 
7.9%
2 121
 
4.0%
1 42
 
1.4%

Animated
Categorical

Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
5.0
387 
4.0
245 
3.0
202 
2.0
121 
1.0
52 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row5.0
3rd row5.0
4th row2.0
5th row4.0

Common Values

ValueCountFrequency (%)
5.0 387
38.3%
4.0 245
24.3%
3.0 202
20.0%
2.0 121
 
12.0%
1.0 52
 
5.1%
(Missing) 3
 
0.3%

Length

2024-03-31T21:52:50.894341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:51.160560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 387
38.4%
4.0 245
24.3%
3.0 202
20.1%
2.0 121
 
12.0%
1.0 52
 
5.2%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
5 387
 
12.8%
4 245
 
8.1%
3 202
 
6.7%
2 121
 
4.0%
1 52
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
5 387
 
19.2%
4 245
 
12.2%
3 202
 
10.0%
2 121
 
6.0%
1 52
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
5 387
 
12.8%
4 245
 
8.1%
3 202
 
6.7%
2 121
 
4.0%
1 52
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
5 387
 
12.8%
4 245
 
8.1%
3 202
 
6.7%
2 121
 
4.0%
1 52
 
1.7%

Documentary
Categorical

Distinct5
Distinct (%)0.5%
Missing8
Missing (%)0.8%
Memory size59.3 KiB
4.0
302 
5.0
276 
3.0
258 
2.0
123 
1.0
43 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3006
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row4.0
3rd row2.0
4th row5.0
5th row3.0

Common Values

ValueCountFrequency (%)
4.0 302
29.9%
5.0 276
27.3%
3.0 258
25.5%
2.0 123
12.2%
1.0 43
 
4.3%
(Missing) 8
 
0.8%

Length

2024-03-31T21:52:51.456606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:51.729248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4.0 302
30.1%
5.0 276
27.5%
3.0 258
25.7%
2.0 123
12.3%
1.0 43
 
4.3%

Most occurring characters

ValueCountFrequency (%)
. 1002
33.3%
0 1002
33.3%
4 302
 
10.0%
5 276
 
9.2%
3 258
 
8.6%
2 123
 
4.1%
1 43
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2004
66.7%
Other Punctuation 1002
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1002
50.0%
4 302
 
15.1%
5 276
 
13.8%
3 258
 
12.9%
2 123
 
6.1%
1 43
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 1002
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3006
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1002
33.3%
0 1002
33.3%
4 302
 
10.0%
5 276
 
9.2%
3 258
 
8.6%
2 123
 
4.1%
1 43
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3006
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1002
33.3%
0 1002
33.3%
4 302
 
10.0%
5 276
 
9.2%
3 258
 
8.6%
2 123
 
4.1%
1 43
 
1.4%

Western
Categorical

Distinct5
Distinct (%)0.5%
Missing4
Missing (%)0.4%
Memory size59.3 KiB
1.0
372 
2.0
310 
3.0
198 
4.0
77 
5.0
49 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3018
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 372
36.8%
2.0 310
30.7%
3.0 198
19.6%
4.0 77
 
7.6%
5.0 49
 
4.9%
(Missing) 4
 
0.4%

Length

2024-03-31T21:52:52.029577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:52.292169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 372
37.0%
2.0 310
30.8%
3.0 198
19.7%
4.0 77
 
7.7%
5.0 49
 
4.9%

Most occurring characters

ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
1 372
 
12.3%
2 310
 
10.3%
3 198
 
6.6%
4 77
 
2.6%
5 49
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2012
66.7%
Other Punctuation 1006
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1006
50.0%
1 372
 
18.5%
2 310
 
15.4%
3 198
 
9.8%
4 77
 
3.8%
5 49
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
1 372
 
12.3%
2 310
 
10.3%
3 198
 
6.6%
4 77
 
2.6%
5 49
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
1 372
 
12.3%
2 310
 
10.3%
3 198
 
6.6%
4 77
 
2.6%
5 49
 
1.6%

Action
Categorical

Distinct5
Distinct (%)0.5%
Missing2
Missing (%)0.2%
Memory size59.3 KiB
5.0
280 
4.0
278 
3.0
220 
2.0
163 
1.0
67 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3024
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row4.0
3rd row1.0
4th row2.0
5th row4.0

Common Values

ValueCountFrequency (%)
5.0 280
27.7%
4.0 278
27.5%
3.0 220
21.8%
2.0 163
16.1%
1.0 67
 
6.6%
(Missing) 2
 
0.2%

Length

2024-03-31T21:52:52.619999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:52.907330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 280
27.8%
4.0 278
27.6%
3.0 220
21.8%
2.0 163
16.2%
1.0 67
 
6.6%

Most occurring characters

ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
5 280
 
9.3%
4 278
 
9.2%
3 220
 
7.3%
2 163
 
5.4%
1 67
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
66.7%
Other Punctuation 1008
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1008
50.0%
5 280
 
13.9%
4 278
 
13.8%
3 220
 
10.9%
2 163
 
8.1%
1 67
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 1008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
5 280
 
9.3%
4 278
 
9.2%
3 220
 
7.3%
2 163
 
5.4%
1 67
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
5 280
 
9.3%
4 278
 
9.2%
3 220
 
7.3%
2 163
 
5.4%
1 67
 
2.2%

History
Categorical

Distinct5
Distinct (%)0.5%
Missing2
Missing (%)0.2%
Memory size59.3 KiB
3.0
284 
4.0
209 
5.0
206 
2.0
206 
1.0
103 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3024
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row4.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 284
28.1%
4.0 209
20.7%
5.0 206
20.4%
2.0 206
20.4%
1.0 103
 
10.2%
(Missing) 2
 
0.2%

Length

2024-03-31T21:52:53.209837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:53.471363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 284
28.2%
4.0 209
20.7%
5.0 206
20.4%
2.0 206
20.4%
1.0 103
 
10.2%

Most occurring characters

ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 284
 
9.4%
4 209
 
6.9%
5 206
 
6.8%
2 206
 
6.8%
1 103
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
66.7%
Other Punctuation 1008
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1008
50.0%
3 284
 
14.1%
4 209
 
10.4%
5 206
 
10.2%
2 206
 
10.2%
1 103
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 1008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 284
 
9.4%
4 209
 
6.9%
5 206
 
6.8%
2 206
 
6.8%
1 103
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 284
 
9.4%
4 209
 
6.9%
5 206
 
6.8%
2 206
 
6.8%
1 103
 
3.4%

Psychology
Categorical

Distinct5
Distinct (%)0.5%
Missing5
Missing (%)0.5%
Memory size59.3 KiB
3.0
251 
4.0
243 
2.0
226 
5.0
173 
1.0
112 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3015
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row3.0
3rd row2.0
4th row4.0
5th row2.0

Common Values

ValueCountFrequency (%)
3.0 251
24.9%
4.0 243
24.1%
2.0 226
22.4%
5.0 173
17.1%
1.0 112
11.1%
(Missing) 5
 
0.5%

Length

2024-03-31T21:52:53.777681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:54.059375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 251
25.0%
4.0 243
24.2%
2.0 226
22.5%
5.0 173
17.2%
1.0 112
11.1%

Most occurring characters

ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
3 251
 
8.3%
4 243
 
8.1%
2 226
 
7.5%
5 173
 
5.7%
1 112
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2010
66.7%
Other Punctuation 1005
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1005
50.0%
3 251
 
12.5%
4 243
 
12.1%
2 226
 
11.2%
5 173
 
8.6%
1 112
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 1005
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3015
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
3 251
 
8.3%
4 243
 
8.1%
2 226
 
7.5%
5 173
 
5.7%
1 112
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3015
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
3 251
 
8.3%
4 243
 
8.1%
2 226
 
7.5%
5 173
 
5.7%
1 112
 
3.7%

Politics
Categorical

Distinct5
Distinct (%)0.5%
Missing1
Missing (%)0.1%
Memory size59.3 KiB
2.0
257 
1.0
256 
3.0
241 
4.0
149 
5.0
106 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3027
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row4.0
3rd row1.0
4th row5.0
5th row3.0

Common Values

ValueCountFrequency (%)
2.0 257
25.4%
1.0 256
25.3%
3.0 241
23.9%
4.0 149
14.8%
5.0 106
10.5%
(Missing) 1
 
0.1%

Length

2024-03-31T21:52:54.364459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:54.631032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2.0 257
25.5%
1.0 256
25.4%
3.0 241
23.9%
4.0 149
14.8%
5.0 106
10.5%

Most occurring characters

ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
2 257
 
8.5%
1 256
 
8.5%
3 241
 
8.0%
4 149
 
4.9%
5 106
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2018
66.7%
Other Punctuation 1009
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1009
50.0%
2 257
 
12.7%
1 256
 
12.7%
3 241
 
11.9%
4 149
 
7.4%
5 106
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 1009
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3027
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
2 257
 
8.5%
1 256
 
8.5%
3 241
 
8.0%
4 149
 
4.9%
5 106
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3027
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
2 257
 
8.5%
1 256
 
8.5%
3 241
 
8.0%
4 149
 
4.9%
5 106
 
3.5%

Mathematics
Categorical

Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
1.0
395 
3.0
203 
2.0
194 
4.0
116 
5.0
99 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row5.0
3rd row5.0
4th row4.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 395
39.1%
3.0 203
20.1%
2.0 194
19.2%
4.0 116
 
11.5%
5.0 99
 
9.8%
(Missing) 3
 
0.3%

Length

2024-03-31T21:52:54.945395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:55.215297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 395
39.2%
3.0 203
20.2%
2.0 194
19.3%
4.0 116
 
11.5%
5.0 99
 
9.8%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
1 395
 
13.1%
3 203
 
6.7%
2 194
 
6.4%
4 116
 
3.8%
5 99
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
1 395
 
19.6%
3 203
 
10.1%
2 194
 
9.6%
4 116
 
5.8%
5 99
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
1 395
 
13.1%
3 203
 
6.7%
2 194
 
6.4%
4 116
 
3.8%
5 99
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
1 395
 
13.1%
3 203
 
6.7%
2 194
 
6.4%
4 116
 
3.8%
5 99
 
3.3%

Physics
Categorical

Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
1.0
457 
2.0
241 
3.0
153 
4.0
99 
5.0
57 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row2.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 457
45.2%
2.0 241
23.9%
3.0 153
 
15.1%
4.0 99
 
9.8%
5.0 57
 
5.6%
(Missing) 3
 
0.3%

Length

2024-03-31T21:52:55.517544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:55.783114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 457
45.4%
2.0 241
23.9%
3.0 153
 
15.2%
4.0 99
 
9.8%
5.0 57
 
5.7%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
1 457
15.1%
2 241
 
8.0%
3 153
 
5.1%
4 99
 
3.3%
5 57
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
1 457
22.7%
2 241
 
12.0%
3 153
 
7.6%
4 99
 
4.9%
5 57
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
1 457
15.1%
2 241
 
8.0%
3 153
 
5.1%
4 99
 
3.3%
5 57
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
1 457
15.1%
2 241
 
8.0%
3 153
 
5.1%
4 99
 
3.3%
5 57
 
1.9%

Internet
Categorical

Distinct5
Distinct (%)0.5%
Missing4
Missing (%)0.4%
Memory size59.3 KiB
5.0
466 
4.0
305 
3.0
191 
2.0
 
34
1.0
 
10

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3018
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row4.0
3rd row4.0
4th row3.0
5th row2.0

Common Values

ValueCountFrequency (%)
5.0 466
46.1%
4.0 305
30.2%
3.0 191
18.9%
2.0 34
 
3.4%
1.0 10
 
1.0%
(Missing) 4
 
0.4%

Length

2024-03-31T21:52:56.098134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:56.358905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 466
46.3%
4.0 305
30.3%
3.0 191
19.0%
2.0 34
 
3.4%
1.0 10
 
1.0%

Most occurring characters

ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
5 466
15.4%
4 305
 
10.1%
3 191
 
6.3%
2 34
 
1.1%
1 10
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2012
66.7%
Other Punctuation 1006
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1006
50.0%
5 466
23.2%
4 305
 
15.2%
3 191
 
9.5%
2 34
 
1.7%
1 10
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
5 466
15.4%
4 305
 
10.1%
3 191
 
6.3%
2 34
 
1.1%
1 10
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
5 466
15.4%
4 305
 
10.1%
3 191
 
6.3%
2 34
 
1.1%
1 10
 
0.3%

PC
Categorical

Distinct5
Distinct (%)0.5%
Missing6
Missing (%)0.6%
Memory size59.3 KiB
3.0
250 
2.0
208 
4.0
207 
5.0
204 
1.0
135 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3012
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row4.0
3rd row2.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
3.0 250
24.8%
2.0 208
20.6%
4.0 207
20.5%
5.0 204
20.2%
1.0 135
13.4%
(Missing) 6
 
0.6%

Length

2024-03-31T21:52:56.652451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:56.918007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 250
24.9%
2.0 208
20.7%
4.0 207
20.6%
5.0 204
20.3%
1.0 135
13.4%

Most occurring characters

ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
3 250
 
8.3%
2 208
 
6.9%
4 207
 
6.9%
5 204
 
6.8%
1 135
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2008
66.7%
Other Punctuation 1004
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1004
50.0%
3 250
 
12.5%
2 208
 
10.4%
4 207
 
10.3%
5 204
 
10.2%
1 135
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 1004
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3012
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
3 250
 
8.3%
2 208
 
6.9%
4 207
 
6.9%
5 204
 
6.8%
1 135
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
3 250
 
8.3%
2 208
 
6.9%
4 207
 
6.9%
5 204
 
6.8%
1 135
 
4.5%
Distinct5
Distinct (%)0.5%
Missing5
Missing (%)0.5%
Memory size59.3 KiB
1.0
262 
2.0
243 
3.0
216 
4.0
159 
5.0
125 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3015
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row5.0
3rd row4.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 262
25.9%
2.0 243
24.1%
3.0 216
21.4%
4.0 159
15.7%
5.0 125
12.4%
(Missing) 5
 
0.5%

Length

2024-03-31T21:52:57.235099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:57.499630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 262
26.1%
2.0 243
24.2%
3.0 216
21.5%
4.0 159
15.8%
5.0 125
12.4%

Most occurring characters

ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
1 262
 
8.7%
2 243
 
8.1%
3 216
 
7.2%
4 159
 
5.3%
5 125
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2010
66.7%
Other Punctuation 1005
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1005
50.0%
1 262
 
13.0%
2 243
 
12.1%
3 216
 
10.7%
4 159
 
7.9%
5 125
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 1005
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3015
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
1 262
 
8.7%
2 243
 
8.1%
3 216
 
7.2%
4 159
 
5.3%
5 125
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3015
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
1 262
 
8.7%
2 243
 
8.1%
3 216
 
7.2%
4 159
 
5.3%
5 125
 
4.1%

Biology
Categorical

Distinct5
Distinct (%)0.5%
Missing6
Missing (%)0.6%
Memory size59.3 KiB
2.0
276 
1.0
250 
3.0
197 
5.0
159 
4.0
122 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3012
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row1.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
2.0 276
27.3%
1.0 250
24.8%
3.0 197
19.5%
5.0 159
15.7%
4.0 122
12.1%
(Missing) 6
 
0.6%

Length

2024-03-31T21:52:57.814059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:58.102464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2.0 276
27.5%
1.0 250
24.9%
3.0 197
19.6%
5.0 159
15.8%
4.0 122
12.2%

Most occurring characters

ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
2 276
 
9.2%
1 250
 
8.3%
3 197
 
6.5%
5 159
 
5.3%
4 122
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2008
66.7%
Other Punctuation 1004
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1004
50.0%
2 276
 
13.7%
1 250
 
12.5%
3 197
 
9.8%
5 159
 
7.9%
4 122
 
6.1%
Other Punctuation
ValueCountFrequency (%)
. 1004
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3012
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
2 276
 
9.2%
1 250
 
8.3%
3 197
 
6.5%
5 159
 
5.3%
4 122
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
2 276
 
9.2%
1 250
 
8.3%
3 197
 
6.5%
5 159
 
5.3%
4 122
 
4.1%

Chemistry
Categorical

Distinct5
Distinct (%)0.5%
Missing10
Missing (%)1.0%
Memory size59.3 KiB
1.0
451 
2.0
245 
5.0
117 
3.0
109 
4.0
78 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3000
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row1.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 451
44.7%
2.0 245
24.3%
5.0 117
 
11.6%
3.0 109
 
10.8%
4.0 78
 
7.7%
(Missing) 10
 
1.0%

Length

2024-03-31T21:52:58.409718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:58.670473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 451
45.1%
2.0 245
24.5%
5.0 117
 
11.7%
3.0 109
 
10.9%
4.0 78
 
7.8%

Most occurring characters

ValueCountFrequency (%)
. 1000
33.3%
0 1000
33.3%
1 451
15.0%
2 245
 
8.2%
5 117
 
3.9%
3 109
 
3.6%
4 78
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2000
66.7%
Other Punctuation 1000
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1000
50.0%
1 451
22.6%
2 245
 
12.2%
5 117
 
5.9%
3 109
 
5.5%
4 78
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1000
33.3%
0 1000
33.3%
1 451
15.0%
2 245
 
8.2%
5 117
 
3.9%
3 109
 
3.6%
4 78
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1000
33.3%
0 1000
33.3%
1 451
15.0%
2 245
 
8.2%
5 117
 
3.9%
3 109
 
3.6%
4 78
 
2.6%

Reading
Categorical

Distinct5
Distinct (%)0.5%
Missing6
Missing (%)0.6%
Memory size59.3 KiB
5.0
277 
1.0
209 
3.0
192 
4.0
175 
2.0
151 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3012
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row4.0
3rd row5.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 277
27.4%
1.0 209
20.7%
3.0 192
19.0%
4.0 175
17.3%
2.0 151
15.0%
(Missing) 6
 
0.6%

Length

2024-03-31T21:52:58.970693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:59.288097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 277
27.6%
1.0 209
20.8%
3.0 192
19.1%
4.0 175
17.4%
2.0 151
15.0%

Most occurring characters

ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
5 277
 
9.2%
1 209
 
6.9%
3 192
 
6.4%
4 175
 
5.8%
2 151
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2008
66.7%
Other Punctuation 1004
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1004
50.0%
5 277
 
13.8%
1 209
 
10.4%
3 192
 
9.6%
4 175
 
8.7%
2 151
 
7.5%
Other Punctuation
ValueCountFrequency (%)
. 1004
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3012
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
5 277
 
9.2%
1 209
 
6.9%
3 192
 
6.4%
4 175
 
5.8%
2 151
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
5 277
 
9.2%
1 209
 
6.9%
3 192
 
6.4%
4 175
 
5.8%
2 151
 
5.0%

Geography
Categorical

Distinct5
Distinct (%)0.5%
Missing9
Missing (%)0.9%
Memory size59.3 KiB
3.0
277 
2.0
209 
4.0
206 
5.0
176 
1.0
133 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3003
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row4.0
3rd row2.0
4th row4.0
5th row2.0

Common Values

ValueCountFrequency (%)
3.0 277
27.4%
2.0 209
20.7%
4.0 206
20.4%
5.0 176
17.4%
1.0 133
13.2%
(Missing) 9
 
0.9%

Length

2024-03-31T21:52:59.608459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:52:59.875029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 277
27.7%
2.0 209
20.9%
4.0 206
20.6%
5.0 176
17.6%
1.0 133
13.3%

Most occurring characters

ValueCountFrequency (%)
. 1001
33.3%
0 1001
33.3%
3 277
 
9.2%
2 209
 
7.0%
4 206
 
6.9%
5 176
 
5.9%
1 133
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2002
66.7%
Other Punctuation 1001
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1001
50.0%
3 277
 
13.8%
2 209
 
10.4%
4 206
 
10.3%
5 176
 
8.8%
1 133
 
6.6%
Other Punctuation
ValueCountFrequency (%)
. 1001
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3003
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1001
33.3%
0 1001
33.3%
3 277
 
9.2%
2 209
 
7.0%
4 206
 
6.9%
5 176
 
5.9%
1 133
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3003
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1001
33.3%
0 1001
33.3%
3 277
 
9.2%
2 209
 
7.0%
4 206
 
6.9%
5 176
 
5.9%
1 133
 
4.4%
Distinct5
Distinct (%)0.5%
Missing5
Missing (%)0.5%
Memory size59.3 KiB
5.0
340 
4.0
287 
3.0
235 
2.0
101 
1.0
42 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3015
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row5.0
3rd row5.0
4th row4.0
5th row3.0

Common Values

ValueCountFrequency (%)
5.0 340
33.7%
4.0 287
28.4%
3.0 235
23.3%
2.0 101
 
10.0%
1.0 42
 
4.2%
(Missing) 5
 
0.5%

Length

2024-03-31T21:53:00.207544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:00.472064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 340
33.8%
4.0 287
28.6%
3.0 235
23.4%
2.0 101
 
10.0%
1.0 42
 
4.2%

Most occurring characters

ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
5 340
 
11.3%
4 287
 
9.5%
3 235
 
7.8%
2 101
 
3.3%
1 42
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2010
66.7%
Other Punctuation 1005
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1005
50.0%
5 340
 
16.9%
4 287
 
14.3%
3 235
 
11.7%
2 101
 
5.0%
1 42
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 1005
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3015
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
5 340
 
11.3%
4 287
 
9.5%
3 235
 
7.8%
2 101
 
3.3%
1 42
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3015
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
5 340
 
11.3%
4 287
 
9.5%
3 235
 
7.8%
2 101
 
3.3%
1 42
 
1.4%

Medicine
Categorical

Distinct5
Distinct (%)0.5%
Missing5
Missing (%)0.5%
Memory size59.3 KiB
1.0
307 
2.0
250 
3.0
216 
5.0
146 
4.0
86 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3015
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row2.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 307
30.4%
2.0 250
24.8%
3.0 216
21.4%
5.0 146
14.5%
4.0 86
 
8.5%
(Missing) 5
 
0.5%

Length

2024-03-31T21:53:00.799377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:01.087229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 307
30.5%
2.0 250
24.9%
3.0 216
21.5%
5.0 146
14.5%
4.0 86
 
8.6%

Most occurring characters

ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
1 307
 
10.2%
2 250
 
8.3%
3 216
 
7.2%
5 146
 
4.8%
4 86
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2010
66.7%
Other Punctuation 1005
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1005
50.0%
1 307
 
15.3%
2 250
 
12.4%
3 216
 
10.7%
5 146
 
7.3%
4 86
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 1005
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3015
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
1 307
 
10.2%
2 250
 
8.3%
3 216
 
7.2%
5 146
 
4.8%
4 86
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3015
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
1 307
 
10.2%
2 250
 
8.3%
3 216
 
7.2%
5 146
 
4.8%
4 86
 
2.9%

Law
Categorical

Distinct5
Distinct (%)0.5%
Missing1
Missing (%)0.1%
Memory size59.3 KiB
1.0
360 
2.0
281 
3.0
188 
4.0
109 
5.0
71 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3027
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row3.0
4th row5.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 360
35.6%
2.0 281
27.8%
3.0 188
18.6%
4.0 109
 
10.8%
5.0 71
 
7.0%
(Missing) 1
 
0.1%

Length

2024-03-31T21:53:01.406085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:01.687817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 360
35.7%
2.0 281
27.8%
3.0 188
18.6%
4.0 109
 
10.8%
5.0 71
 
7.0%

Most occurring characters

ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
1 360
 
11.9%
2 281
 
9.3%
3 188
 
6.2%
4 109
 
3.6%
5 71
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2018
66.7%
Other Punctuation 1009
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1009
50.0%
1 360
 
17.8%
2 281
 
13.9%
3 188
 
9.3%
4 109
 
5.4%
5 71
 
3.5%
Other Punctuation
ValueCountFrequency (%)
. 1009
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3027
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
1 360
 
11.9%
2 281
 
9.3%
3 188
 
6.2%
4 109
 
3.6%
5 71
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3027
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
1 360
 
11.9%
2 281
 
9.3%
3 188
 
6.2%
4 109
 
3.6%
5 71
 
2.3%

Cars
Categorical

Distinct5
Distinct (%)0.5%
Missing4
Missing (%)0.4%
Memory size59.3 KiB
1.0
295 
2.0
203 
3.0
192 
5.0
162 
4.0
154 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3018
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 295
29.2%
2.0 203
20.1%
3.0 192
19.0%
5.0 162
16.0%
4.0 154
15.2%
(Missing) 4
 
0.4%

Length

2024-03-31T21:53:01.985445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:02.277332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 295
29.3%
2.0 203
20.2%
3.0 192
19.1%
5.0 162
16.1%
4.0 154
15.3%

Most occurring characters

ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
1 295
 
9.8%
2 203
 
6.7%
3 192
 
6.4%
5 162
 
5.4%
4 154
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2012
66.7%
Other Punctuation 1006
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1006
50.0%
1 295
 
14.7%
2 203
 
10.1%
3 192
 
9.5%
5 162
 
8.1%
4 154
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
1 295
 
9.8%
2 203
 
6.7%
3 192
 
6.4%
5 162
 
5.4%
4 154
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
1 295
 
9.8%
2 203
 
6.7%
3 192
 
6.4%
5 162
 
5.4%
4 154
 
5.1%

Art exhibitions
Categorical

Distinct5
Distinct (%)0.5%
Missing6
Missing (%)0.6%
Memory size59.3 KiB
1.0
267 
2.0
249 
3.0
234 
4.0
137 
5.0
117 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3012
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row5.0
4th row5.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 267
26.4%
2.0 249
24.7%
3.0 234
23.2%
4.0 137
13.6%
5.0 117
11.6%
(Missing) 6
 
0.6%

Length

2024-03-31T21:53:02.581278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:02.845418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 267
26.6%
2.0 249
24.8%
3.0 234
23.3%
4.0 137
13.6%
5.0 117
11.7%

Most occurring characters

ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
1 267
 
8.9%
2 249
 
8.3%
3 234
 
7.8%
4 137
 
4.5%
5 117
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2008
66.7%
Other Punctuation 1004
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1004
50.0%
1 267
 
13.3%
2 249
 
12.4%
3 234
 
11.7%
4 137
 
6.8%
5 117
 
5.8%
Other Punctuation
ValueCountFrequency (%)
. 1004
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3012
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
1 267
 
8.9%
2 249
 
8.3%
3 234
 
7.8%
4 137
 
4.5%
5 117
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
1 267
 
8.9%
2 249
 
8.3%
3 234
 
7.8%
4 137
 
4.5%
5 117
 
3.9%

Religion
Categorical

Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
1.0
403 
2.0
210 
3.0
199 
4.0
106 
5.0
89 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row5.0
4th row4.0
5th row4.0

Common Values

ValueCountFrequency (%)
1.0 403
39.9%
2.0 210
20.8%
3.0 199
19.7%
4.0 106
 
10.5%
5.0 89
 
8.8%
(Missing) 3
 
0.3%

Length

2024-03-31T21:53:03.149904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:03.436332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 403
40.0%
2.0 210
20.9%
3.0 199
19.8%
4.0 106
 
10.5%
5.0 89
 
8.8%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
1 403
13.3%
2 210
 
7.0%
3 199
 
6.6%
4 106
 
3.5%
5 89
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
1 403
20.0%
2 210
 
10.4%
3 199
 
9.9%
4 106
 
5.3%
5 89
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
1 403
13.3%
2 210
 
7.0%
3 199
 
6.6%
4 106
 
3.5%
5 89
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
1 403
13.3%
2 210
 
7.0%
3 199
 
6.6%
4 106
 
3.5%
5 89
 
2.9%
Distinct5
Distinct (%)0.5%
Missing7
Missing (%)0.7%
Memory size59.3 KiB
5.0
312 
4.0
300 
3.0
218 
2.0
111 
1.0
62 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3009
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row1.0
3rd row5.0
4th row1.0
5th row4.0

Common Values

ValueCountFrequency (%)
5.0 312
30.9%
4.0 300
29.7%
3.0 218
21.6%
2.0 111
 
11.0%
1.0 62
 
6.1%
(Missing) 7
 
0.7%

Length

2024-03-31T21:53:03.740536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:04.006080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 312
31.1%
4.0 300
29.9%
3.0 218
21.7%
2.0 111
 
11.1%
1.0 62
 
6.2%

Most occurring characters

ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
5 312
 
10.4%
4 300
 
10.0%
3 218
 
7.2%
2 111
 
3.7%
1 62
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2006
66.7%
Other Punctuation 1003
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1003
50.0%
5 312
 
15.6%
4 300
 
15.0%
3 218
 
10.9%
2 111
 
5.5%
1 62
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 1003
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3009
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
5 312
 
10.4%
4 300
 
10.0%
3 218
 
7.2%
2 111
 
3.7%
1 62
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3009
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
5 312
 
10.4%
4 300
 
10.0%
3 218
 
7.2%
2 111
 
3.7%
1 62
 
2.1%

Dancing
Categorical

Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
1.0
377 
2.0
194 
3.0
180 
5.0
150 
4.0
106 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row5.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 377
37.3%
2.0 194
19.2%
3.0 180
17.8%
5.0 150
 
14.9%
4.0 106
 
10.5%
(Missing) 3
 
0.3%

Length

2024-03-31T21:53:04.313901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:04.612601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 377
37.4%
2.0 194
19.3%
3.0 180
17.9%
5.0 150
 
14.9%
4.0 106
 
10.5%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
1 377
 
12.5%
2 194
 
6.4%
3 180
 
6.0%
5 150
 
5.0%
4 106
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
1 377
 
18.7%
2 194
 
9.6%
3 180
 
8.9%
5 150
 
7.4%
4 106
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
1 377
 
12.5%
2 194
 
6.4%
3 180
 
6.0%
5 150
 
5.0%
4 106
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
1 377
 
12.5%
2 194
 
6.4%
3 180
 
6.0%
5 150
 
5.0%
4 106
 
3.5%
Distinct5
Distinct (%)0.5%
Missing1
Missing (%)0.1%
Memory size59.3 KiB
1.0
471 
5.0
158 
2.0
154 
3.0
128 
4.0
98 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3027
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row5.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 471
46.6%
5.0 158
 
15.6%
2.0 154
 
15.2%
3.0 128
 
12.7%
4.0 98
 
9.7%
(Missing) 1
 
0.1%

Length

2024-03-31T21:53:04.940560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:05.228830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 471
46.7%
5.0 158
 
15.7%
2.0 154
 
15.3%
3.0 128
 
12.7%
4.0 98
 
9.7%

Most occurring characters

ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
1 471
15.6%
5 158
 
5.2%
2 154
 
5.1%
3 128
 
4.2%
4 98
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2018
66.7%
Other Punctuation 1009
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1009
50.0%
1 471
23.3%
5 158
 
7.8%
2 154
 
7.6%
3 128
 
6.3%
4 98
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 1009
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3027
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
1 471
15.6%
5 158
 
5.2%
2 154
 
5.1%
3 128
 
4.2%
4 98
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3027
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
1 471
15.6%
5 158
 
5.2%
2 154
 
5.1%
3 128
 
4.2%
4 98
 
3.2%

Writing
Categorical

Distinct5
Distinct (%)0.5%
Missing6
Missing (%)0.6%
Memory size59.3 KiB
1.0
590 
2.0
148 
3.0
112 
4.0
83 
5.0
71 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3012
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row5.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 590
58.4%
2.0 148
 
14.7%
3.0 112
 
11.1%
4.0 83
 
8.2%
5.0 71
 
7.0%
(Missing) 6
 
0.6%

Length

2024-03-31T21:53:05.576886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:05.868172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 590
58.8%
2.0 148
 
14.7%
3.0 112
 
11.2%
4.0 83
 
8.3%
5.0 71
 
7.1%

Most occurring characters

ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
1 590
19.6%
2 148
 
4.9%
3 112
 
3.7%
4 83
 
2.8%
5 71
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2008
66.7%
Other Punctuation 1004
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1004
50.0%
1 590
29.4%
2 148
 
7.4%
3 112
 
5.6%
4 83
 
4.1%
5 71
 
3.5%
Other Punctuation
ValueCountFrequency (%)
. 1004
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3012
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
1 590
19.6%
2 148
 
4.9%
3 112
 
3.7%
4 83
 
2.8%
5 71
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
1 590
19.6%
2 148
 
4.9%
3 112
 
3.7%
4 83
 
2.8%
5 71
 
2.4%

Passive sport
Categorical

MISSING 

Distinct5
Distinct (%)0.5%
Missing15
Missing (%)1.5%
Memory size59.4 KiB
5.0
310 
3.0
221 
4.0
183 
2.0
145 
1.0
136 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2985
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row5.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
5.0 310
30.7%
3.0 221
21.9%
4.0 183
18.1%
2.0 145
14.4%
1.0 136
13.5%
(Missing) 15
 
1.5%

Length

2024-03-31T21:53:06.171821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:06.455187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 310
31.2%
3.0 221
22.2%
4.0 183
18.4%
2.0 145
14.6%
1.0 136
13.7%

Most occurring characters

ValueCountFrequency (%)
. 995
33.3%
0 995
33.3%
5 310
 
10.4%
3 221
 
7.4%
4 183
 
6.1%
2 145
 
4.9%
1 136
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1990
66.7%
Other Punctuation 995
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 995
50.0%
5 310
 
15.6%
3 221
 
11.1%
4 183
 
9.2%
2 145
 
7.3%
1 136
 
6.8%
Other Punctuation
ValueCountFrequency (%)
. 995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2985
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 995
33.3%
0 995
33.3%
5 310
 
10.4%
3 221
 
7.4%
4 183
 
6.1%
2 145
 
4.9%
1 136
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2985
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 995
33.3%
0 995
33.3%
5 310
 
10.4%
3 221
 
7.4%
4 183
 
6.1%
2 145
 
4.9%
1 136
 
4.6%

Active sport
Categorical

Distinct5
Distinct (%)0.5%
Missing4
Missing (%)0.4%
Memory size59.3 KiB
5.0
318 
1.0
197 
3.0
192 
4.0
175 
2.0
124 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3018
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row1.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
5.0 318
31.5%
1.0 197
19.5%
3.0 192
19.0%
4.0 175
17.3%
2.0 124
 
12.3%
(Missing) 4
 
0.4%

Length

2024-03-31T21:53:06.769599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:07.038509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 318
31.6%
1.0 197
19.6%
3.0 192
19.1%
4.0 175
17.4%
2.0 124
 
12.3%

Most occurring characters

ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
5 318
 
10.5%
1 197
 
6.5%
3 192
 
6.4%
4 175
 
5.8%
2 124
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2012
66.7%
Other Punctuation 1006
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1006
50.0%
5 318
 
15.8%
1 197
 
9.8%
3 192
 
9.5%
4 175
 
8.7%
2 124
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
5 318
 
10.5%
1 197
 
6.5%
3 192
 
6.4%
4 175
 
5.8%
2 124
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
5 318
 
10.5%
1 197
 
6.5%
3 192
 
6.4%
4 175
 
5.8%
2 124
 
4.1%

Gardening
Categorical

Distinct5
Distinct (%)0.5%
Missing7
Missing (%)0.7%
Memory size59.3 KiB
1.0
520 
2.0
224 
3.0
146 
4.0
58 
5.0
55 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3009
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row1.0
3rd row1.0
4th row1.0
5th row4.0

Common Values

ValueCountFrequency (%)
1.0 520
51.5%
2.0 224
22.2%
3.0 146
 
14.5%
4.0 58
 
5.7%
5.0 55
 
5.4%
(Missing) 7
 
0.7%

Length

2024-03-31T21:53:07.352775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:07.660963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 520
51.8%
2.0 224
22.3%
3.0 146
 
14.6%
4.0 58
 
5.8%
5.0 55
 
5.5%

Most occurring characters

ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
1 520
17.3%
2 224
 
7.4%
3 146
 
4.9%
4 58
 
1.9%
5 55
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2006
66.7%
Other Punctuation 1003
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1003
50.0%
1 520
25.9%
2 224
 
11.2%
3 146
 
7.3%
4 58
 
2.9%
5 55
 
2.7%
Other Punctuation
ValueCountFrequency (%)
. 1003
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3009
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
1 520
17.3%
2 224
 
7.4%
3 146
 
4.9%
4 58
 
1.9%
5 55
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3009
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
1 520
17.3%
2 224
 
7.4%
3 146
 
4.9%
4 58
 
1.9%
5 55
 
1.8%

Celebrities
Categorical

Distinct5
Distinct (%)0.5%
Missing2
Missing (%)0.2%
Memory size59.3 KiB
1.0
344 
2.0
233 
3.0
227 
4.0
130 
5.0
74 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3024
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 344
34.1%
2.0 233
23.1%
3.0 227
22.5%
4.0 130
 
12.9%
5.0 74
 
7.3%
(Missing) 2
 
0.2%

Length

2024-03-31T21:53:07.989923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:08.347363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 344
34.1%
2.0 233
23.1%
3.0 227
22.5%
4.0 130
 
12.9%
5.0 74
 
7.3%

Most occurring characters

ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
1 344
 
11.4%
2 233
 
7.7%
3 227
 
7.5%
4 130
 
4.3%
5 74
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
66.7%
Other Punctuation 1008
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1008
50.0%
1 344
 
17.1%
2 233
 
11.6%
3 227
 
11.3%
4 130
 
6.4%
5 74
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 1008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
1 344
 
11.4%
2 233
 
7.7%
3 227
 
7.5%
4 130
 
4.3%
5 74
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
1 344
 
11.4%
2 233
 
7.7%
3 227
 
7.5%
4 130
 
4.3%
5 74
 
2.4%

Shopping
Categorical

Distinct5
Distinct (%)0.5%
Missing2
Missing (%)0.2%
Memory size59.3 KiB
3.0
252 
4.0
230 
5.0
226 
2.0
197 
1.0
103 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3024
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row3.0
3rd row4.0
4th row4.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 252
25.0%
4.0 230
22.8%
5.0 226
22.4%
2.0 197
19.5%
1.0 103
10.2%
(Missing) 2
 
0.2%

Length

2024-03-31T21:53:09.036643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:09.366515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 252
25.0%
4.0 230
22.8%
5.0 226
22.4%
2.0 197
19.5%
1.0 103
10.2%

Most occurring characters

ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 252
 
8.3%
4 230
 
7.6%
5 226
 
7.5%
2 197
 
6.5%
1 103
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
66.7%
Other Punctuation 1008
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1008
50.0%
3 252
 
12.5%
4 230
 
11.4%
5 226
 
11.2%
2 197
 
9.8%
1 103
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 1008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 252
 
8.3%
4 230
 
7.6%
5 226
 
7.5%
2 197
 
6.5%
1 103
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 252
 
8.3%
4 230
 
7.6%
5 226
 
7.5%
2 197
 
6.5%
1 103
 
3.4%
Distinct5
Distinct (%)0.5%
Missing6
Missing (%)0.6%
Memory size59.3 KiB
3.0
274 
4.0
225 
5.0
210 
2.0
180 
1.0
115 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3012
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row3.0
3rd row2.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 274
27.1%
4.0 225
22.3%
5.0 210
20.8%
2.0 180
17.8%
1.0 115
11.4%
(Missing) 6
 
0.6%

Length

2024-03-31T21:53:10.521413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:10.902184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 274
27.3%
4.0 225
22.4%
5.0 210
20.9%
2.0 180
17.9%
1.0 115
11.5%

Most occurring characters

ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
3 274
 
9.1%
4 225
 
7.5%
5 210
 
7.0%
2 180
 
6.0%
1 115
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2008
66.7%
Other Punctuation 1004
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1004
50.0%
3 274
 
13.6%
4 225
 
11.2%
5 210
 
10.5%
2 180
 
9.0%
1 115
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 1004
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3012
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
3 274
 
9.1%
4 225
 
7.5%
5 210
 
7.0%
2 180
 
6.0%
1 115
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
3 274
 
9.1%
4 225
 
7.5%
5 210
 
7.0%
2 180
 
6.0%
1 115
 
3.8%

Theatre
Categorical

Distinct5
Distinct (%)0.5%
Missing8
Missing (%)0.8%
Memory size59.3 KiB
3.0
260 
2.0
210 
4.0
193 
5.0
180 
1.0
159 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3006
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row5.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
3.0 260
25.7%
2.0 210
20.8%
4.0 193
19.1%
5.0 180
17.8%
1.0 159
15.7%
(Missing) 8
 
0.8%

Length

2024-03-31T21:53:11.228561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:11.559541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 260
25.9%
2.0 210
21.0%
4.0 193
19.3%
5.0 180
18.0%
1.0 159
15.9%

Most occurring characters

ValueCountFrequency (%)
. 1002
33.3%
0 1002
33.3%
3 260
 
8.6%
2 210
 
7.0%
4 193
 
6.4%
5 180
 
6.0%
1 159
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2004
66.7%
Other Punctuation 1002
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1002
50.0%
3 260
 
13.0%
2 210
 
10.5%
4 193
 
9.6%
5 180
 
9.0%
1 159
 
7.9%
Other Punctuation
ValueCountFrequency (%)
. 1002
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3006
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1002
33.3%
0 1002
33.3%
3 260
 
8.6%
2 210
 
7.0%
4 193
 
6.4%
5 180
 
6.0%
1 159
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3006
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1002
33.3%
0 1002
33.3%
3 260
 
8.6%
2 210
 
7.0%
4 193
 
6.4%
5 180
 
6.0%
1 159
 
5.3%

Fun with friends
Categorical

Distinct4
Distinct (%)0.4%
Missing4
Missing (%)0.4%
Memory size59.3 KiB
5.0
687 
4.0
216 
3.0
80 
2.0
 
23

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3018
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row4.0
3rd row5.0
4th row2.0
5th row4.0

Common Values

ValueCountFrequency (%)
5.0 687
68.0%
4.0 216
 
21.4%
3.0 80
 
7.9%
2.0 23
 
2.3%
(Missing) 4
 
0.4%

Length

2024-03-31T21:53:11.895823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:12.196862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 687
68.3%
4.0 216
 
21.5%
3.0 80
 
8.0%
2.0 23
 
2.3%

Most occurring characters

ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
5 687
22.8%
4 216
 
7.2%
3 80
 
2.7%
2 23
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2012
66.7%
Other Punctuation 1006
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1006
50.0%
5 687
34.1%
4 216
 
10.7%
3 80
 
4.0%
2 23
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
5 687
22.8%
4 216
 
7.2%
3 80
 
2.7%
2 23
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
5 687
22.8%
4 216
 
7.2%
3 80
 
2.7%
2 23
 
0.8%
Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
3.0
221 
1.0
219 
5.0
197 
2.0
189 
4.0
181 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row2.0
3rd row5.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
3.0 221
21.9%
1.0 219
21.7%
5.0 197
19.5%
2.0 189
18.7%
4.0 181
17.9%
(Missing) 3
 
0.3%

Length

2024-03-31T21:53:12.500709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:12.806224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 221
21.9%
1.0 219
21.7%
5.0 197
19.6%
2.0 189
18.8%
4.0 181
18.0%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 221
 
7.3%
1 219
 
7.2%
5 197
 
6.5%
2 189
 
6.3%
4 181
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
3 221
 
11.0%
1 219
 
10.9%
5 197
 
9.8%
2 189
 
9.4%
4 181
 
9.0%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 221
 
7.3%
1 219
 
7.2%
5 197
 
6.5%
2 189
 
6.3%
4 181
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 221
 
7.3%
1 219
 
7.2%
5 197
 
6.5%
2 189
 
6.3%
4 181
 
6.0%

Pets
Categorical

Distinct5
Distinct (%)0.5%
Missing4
Missing (%)0.4%
Memory size59.3 KiB
5.0
352 
1.0
206 
3.0
167 
4.0
163 
2.0
118 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3018
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row5.0
3rd row5.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
5.0 352
34.9%
1.0 206
20.4%
3.0 167
16.5%
4.0 163
16.1%
2.0 118
 
11.7%
(Missing) 4
 
0.4%

Length

2024-03-31T21:53:13.230328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:13.599856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 352
35.0%
1.0 206
20.5%
3.0 167
16.6%
4.0 163
16.2%
2.0 118
 
11.7%

Most occurring characters

ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
5 352
 
11.7%
1 206
 
6.8%
3 167
 
5.5%
4 163
 
5.4%
2 118
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2012
66.7%
Other Punctuation 1006
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1006
50.0%
5 352
 
17.5%
1 206
 
10.2%
3 167
 
8.3%
4 163
 
8.1%
2 118
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
5 352
 
11.7%
1 206
 
6.8%
3 167
 
5.5%
4 163
 
5.4%
2 118
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
5 352
 
11.7%
1 206
 
6.8%
3 167
 
5.5%
4 163
 
5.4%
2 118
 
3.9%

Flying
Categorical

Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
1.0
463 
2.0
207 
3.0
207 
4.0
72 
5.0
58 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 463
45.8%
2.0 207
20.5%
3.0 207
20.5%
4.0 72
 
7.1%
5.0 58
 
5.7%
(Missing) 3
 
0.3%

Length

2024-03-31T21:53:13.970508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:14.239322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 463
46.0%
2.0 207
20.6%
3.0 207
20.6%
4.0 72
 
7.1%
5.0 58
 
5.8%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
1 463
15.3%
2 207
 
6.9%
3 207
 
6.9%
4 72
 
2.4%
5 58
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
1 463
23.0%
2 207
 
10.3%
3 207
 
10.3%
4 72
 
3.6%
5 58
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
1 463
15.3%
2 207
 
6.9%
3 207
 
6.9%
4 72
 
2.4%
5 58
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
1 463
15.3%
2 207
 
6.9%
3 207
 
6.9%
4 72
 
2.4%
5 58
 
1.9%

Storm
Categorical

Distinct5
Distinct (%)0.5%
Missing1
Missing (%)0.1%
Memory size59.3 KiB
1.0
474 
2.0
261 
3.0
151 
4.0
73 
5.0
50 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3027
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 474
46.9%
2.0 261
25.8%
3.0 151
 
15.0%
4.0 73
 
7.2%
5.0 50
 
5.0%
(Missing) 1
 
0.1%

Length

2024-03-31T21:53:14.704037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:15.359396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 474
47.0%
2.0 261
25.9%
3.0 151
 
15.0%
4.0 73
 
7.2%
5.0 50
 
5.0%

Most occurring characters

ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
1 474
15.7%
2 261
 
8.6%
3 151
 
5.0%
4 73
 
2.4%
5 50
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2018
66.7%
Other Punctuation 1009
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1009
50.0%
1 474
23.5%
2 261
 
12.9%
3 151
 
7.5%
4 73
 
3.6%
5 50
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 1009
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3027
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
1 474
15.7%
2 261
 
8.6%
3 151
 
5.0%
4 73
 
2.4%
5 50
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3027
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
1 474
15.7%
2 261
 
8.6%
3 151
 
5.0%
4 73
 
2.4%
5 50
 
1.7%

Darkness
Categorical

Distinct5
Distinct (%)0.5%
Missing2
Missing (%)0.2%
Memory size59.3 KiB
1.0
358 
2.0
301 
3.0
165 
4.0
106 
5.0
78 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3024
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 358
35.4%
2.0 301
29.8%
3.0 165
16.3%
4.0 106
 
10.5%
5.0 78
 
7.7%
(Missing) 2
 
0.2%

Length

2024-03-31T21:53:15.742809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:16.130656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 358
35.5%
2.0 301
29.9%
3.0 165
16.4%
4.0 106
 
10.5%
5.0 78
 
7.7%

Most occurring characters

ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
1 358
 
11.8%
2 301
 
10.0%
3 165
 
5.5%
4 106
 
3.5%
5 78
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
66.7%
Other Punctuation 1008
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1008
50.0%
1 358
 
17.8%
2 301
 
14.9%
3 165
 
8.2%
4 106
 
5.3%
5 78
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 1008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
1 358
 
11.8%
2 301
 
10.0%
3 165
 
5.5%
4 106
 
3.5%
5 78
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
1 358
 
11.8%
2 301
 
10.0%
3 165
 
5.5%
4 106
 
3.5%
5 78
 
2.6%

Heights
Categorical

Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
2.0
256 
1.0
251 
3.0
232 
4.0
165 
5.0
103 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 256
25.3%
1.0 251
24.9%
3.0 232
23.0%
4.0 165
16.3%
5.0 103
10.2%
(Missing) 3
 
0.3%

Length

2024-03-31T21:53:16.820319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:17.433635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2.0 256
25.4%
1.0 251
24.9%
3.0 232
23.0%
4.0 165
16.4%
5.0 103
10.2%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
2 256
 
8.5%
1 251
 
8.3%
3 232
 
7.7%
4 165
 
5.5%
5 103
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
2 256
 
12.7%
1 251
 
12.5%
3 232
 
11.5%
4 165
 
8.2%
5 103
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
2 256
 
8.5%
1 251
 
8.3%
3 232
 
7.7%
4 165
 
5.5%
5 103
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
2 256
 
8.5%
1 251
 
8.3%
3 232
 
7.7%
4 165
 
5.5%
5 103
 
3.4%

Spiders
Categorical

Distinct5
Distinct (%)0.5%
Missing5
Missing (%)0.5%
Memory size59.3 KiB
1.0
286 
5.0
239 
2.0
202 
3.0
157 
4.0
121 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3015
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row5.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 286
28.3%
5.0 239
23.7%
2.0 202
20.0%
3.0 157
15.5%
4.0 121
12.0%
(Missing) 5
 
0.5%

Length

2024-03-31T21:53:18.250851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:18.815181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 286
28.5%
5.0 239
23.8%
2.0 202
20.1%
3.0 157
15.6%
4.0 121
12.0%

Most occurring characters

ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
1 286
 
9.5%
5 239
 
7.9%
2 202
 
6.7%
3 157
 
5.2%
4 121
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2010
66.7%
Other Punctuation 1005
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1005
50.0%
1 286
 
14.2%
5 239
 
11.9%
2 202
 
10.0%
3 157
 
7.8%
4 121
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 1005
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3015
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
1 286
 
9.5%
5 239
 
7.9%
2 202
 
6.7%
3 157
 
5.2%
4 121
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3015
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
1 286
 
9.5%
5 239
 
7.9%
2 202
 
6.7%
3 157
 
5.2%
4 121
 
4.0%

Snakes
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size57.3 KiB
5
246 
1
239 
3
191 
4
174 
2
160 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1010
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row1
3rd row1
4th row5
5th row1

Common Values

ValueCountFrequency (%)
5 246
24.4%
1 239
23.7%
3 191
18.9%
4 174
17.2%
2 160
15.8%

Length

2024-03-31T21:53:19.652154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:20.273151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 246
24.4%
1 239
23.7%
3 191
18.9%
4 174
17.2%
2 160
15.8%

Most occurring characters

ValueCountFrequency (%)
5 246
24.4%
1 239
23.7%
3 191
18.9%
4 174
17.2%
2 160
15.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1010
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 246
24.4%
1 239
23.7%
3 191
18.9%
4 174
17.2%
2 160
15.8%

Most occurring scripts

ValueCountFrequency (%)
Common 1010
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 246
24.4%
1 239
23.7%
3 191
18.9%
4 174
17.2%
2 160
15.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1010
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 246
24.4%
1 239
23.7%
3 191
18.9%
4 174
17.2%
2 160
15.8%

Rats
Categorical

Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
1.0
385 
3.0
188 
2.0
188 
4.0
129 
5.0
117 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row1.0
4th row5.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 385
38.1%
3.0 188
18.6%
2.0 188
18.6%
4.0 129
 
12.8%
5.0 117
 
11.6%
(Missing) 3
 
0.3%

Length

2024-03-31T21:53:20.996439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:21.567022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 385
38.2%
3.0 188
18.7%
2.0 188
18.7%
4.0 129
 
12.8%
5.0 117
 
11.6%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
1 385
 
12.7%
3 188
 
6.2%
2 188
 
6.2%
4 129
 
4.3%
5 117
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
1 385
 
19.1%
3 188
 
9.3%
2 188
 
9.3%
4 129
 
6.4%
5 117
 
5.8%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
1 385
 
12.7%
3 188
 
6.2%
2 188
 
6.2%
4 129
 
4.3%
5 117
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
1 385
 
12.7%
3 188
 
6.2%
2 188
 
6.2%
4 129
 
4.3%
5 117
 
3.9%

Ageing
Categorical

Distinct5
Distinct (%)0.5%
Missing1
Missing (%)0.1%
Memory size59.3 KiB
1.0
314 
3.0
241 
2.0
192 
5.0
135 
4.0
127 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3027
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row4.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 314
31.1%
3.0 241
23.9%
2.0 192
19.0%
5.0 135
13.4%
4.0 127
12.6%
(Missing) 1
 
0.1%

Length

2024-03-31T21:53:22.168210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:22.629153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 314
31.1%
3.0 241
23.9%
2.0 192
19.0%
5.0 135
13.4%
4.0 127
12.6%

Most occurring characters

ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
1 314
 
10.4%
3 241
 
8.0%
2 192
 
6.3%
5 135
 
4.5%
4 127
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2018
66.7%
Other Punctuation 1009
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1009
50.0%
1 314
 
15.6%
3 241
 
11.9%
2 192
 
9.5%
5 135
 
6.7%
4 127
 
6.3%
Other Punctuation
ValueCountFrequency (%)
. 1009
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3027
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
1 314
 
10.4%
3 241
 
8.0%
2 192
 
6.3%
5 135
 
4.5%
4 127
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3027
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
1 314
 
10.4%
3 241
 
8.0%
2 192
 
6.3%
5 135
 
4.5%
4 127
 
4.2%

Dangerous dogs
Categorical

Distinct5
Distinct (%)0.5%
Missing1
Missing (%)0.1%
Memory size59.3 KiB
3.0
252 
5.0
198 
4.0
192 
2.0
189 
1.0
178 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3027
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row1.0
4th row5.0
5th row4.0

Common Values

ValueCountFrequency (%)
3.0 252
25.0%
5.0 198
19.6%
4.0 192
19.0%
2.0 189
18.7%
1.0 178
17.6%
(Missing) 1
 
0.1%

Length

2024-03-31T21:53:23.174481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:24.047636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 252
25.0%
5.0 198
19.6%
4.0 192
19.0%
2.0 189
18.7%
1.0 178
17.6%

Most occurring characters

ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
3 252
 
8.3%
5 198
 
6.5%
4 192
 
6.3%
2 189
 
6.2%
1 178
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2018
66.7%
Other Punctuation 1009
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1009
50.0%
3 252
 
12.5%
5 198
 
9.8%
4 192
 
9.5%
2 189
 
9.4%
1 178
 
8.8%
Other Punctuation
ValueCountFrequency (%)
. 1009
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3027
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
3 252
 
8.3%
5 198
 
6.5%
4 192
 
6.3%
2 189
 
6.2%
1 178
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3027
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
3 252
 
8.3%
5 198
 
6.5%
4 192
 
6.3%
2 189
 
6.2%
1 178
 
5.9%
Distinct5
Distinct (%)0.5%
Missing1
Missing (%)0.1%
Memory size59.3 KiB
3.0
308 
2.0
233 
4.0
193 
1.0
177 
5.0
98 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3027
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row4.0
3rd row2.0
4th row5.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 308
30.5%
2.0 233
23.1%
4.0 193
19.1%
1.0 177
17.5%
5.0 98
 
9.7%
(Missing) 1
 
0.1%

Length

2024-03-31T21:53:24.606514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:25.081115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 308
30.5%
2.0 233
23.1%
4.0 193
19.1%
1.0 177
17.5%
5.0 98
 
9.7%

Most occurring characters

ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
3 308
 
10.2%
2 233
 
7.7%
4 193
 
6.4%
1 177
 
5.8%
5 98
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2018
66.7%
Other Punctuation 1009
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1009
50.0%
3 308
 
15.3%
2 233
 
11.5%
4 193
 
9.6%
1 177
 
8.8%
5 98
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 1009
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3027
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
3 308
 
10.2%
2 233
 
7.7%
4 193
 
6.4%
1 177
 
5.8%
5 98
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3027
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
3 308
 
10.2%
2 233
 
7.7%
4 193
 
6.4%
1 177
 
5.8%
5 98
 
3.2%

Smoking
Categorical

Distinct4
Distinct (%)0.4%
Missing8
Missing (%)0.8%
Memory size69.1 KiB
tried smoking
430 
never smoked
208 
current smoker
189 
former smoker
175 

Length

Max length14
Median length13
Mean length12.981038
Min length12

Characters and Unicode

Total characters13007
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownever smoked
2nd rownever smoked
3rd rowtried smoking
4th rowformer smoker
5th rowtried smoking

Common Values

ValueCountFrequency (%)
tried smoking 430
42.6%
never smoked 208
20.6%
current smoker 189
18.7%
former smoker 175
17.3%
(Missing) 8
 
0.8%

Length

2024-03-31T21:53:25.498910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:26.028187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
tried 430
21.5%
smoking 430
21.5%
smoker 364
18.2%
never 208
10.4%
smoked 208
10.4%
current 189
9.4%
former 175
8.7%

Most occurring characters

ValueCountFrequency (%)
e 1782
13.7%
r 1730
13.3%
m 1177
9.0%
o 1177
9.0%
1002
7.7%
s 1002
7.7%
k 1002
7.7%
i 860
6.6%
n 827
6.4%
d 638
 
4.9%
Other values (6) 1810
13.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12005
92.3%
Space Separator 1002
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1782
14.8%
r 1730
14.4%
m 1177
9.8%
o 1177
9.8%
s 1002
8.3%
k 1002
8.3%
i 860
7.2%
n 827
6.9%
d 638
 
5.3%
t 619
 
5.2%
Other values (5) 1191
9.9%
Space Separator
ValueCountFrequency (%)
1002
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12005
92.3%
Common 1002
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1782
14.8%
r 1730
14.4%
m 1177
9.8%
o 1177
9.8%
s 1002
8.3%
k 1002
8.3%
i 860
7.2%
n 827
6.9%
d 638
 
5.3%
t 619
 
5.2%
Other values (5) 1191
9.9%
Common
ValueCountFrequency (%)
1002
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13007
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1782
13.7%
r 1730
13.3%
m 1177
9.0%
o 1177
9.0%
1002
7.7%
s 1002
7.7%
k 1002
7.7%
i 860
6.6%
n 827
6.4%
d 638
 
4.9%
Other values (6) 1810
13.9%

Alcohol
Categorical

Distinct3
Distinct (%)0.3%
Missing5
Missing (%)0.5%
Memory size68.4 KiB
social drinker
659 
drink a lot
222 
never
124 

Length

Max length14
Median length14
Mean length12.226866
Min length5

Characters and Unicode

Total characters12288
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowdrink a lot
2nd rowdrink a lot
3rd rowdrink a lot
4th rowdrink a lot
5th rowsocial drinker

Common Values

ValueCountFrequency (%)
social drinker 659
65.2%
drink a lot 222
 
22.0%
never 124
 
12.3%
(Missing) 5
 
0.5%

Length

2024-03-31T21:53:26.479680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:26.773243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
social 659
31.3%
drinker 659
31.3%
drink 222
 
10.5%
a 222
 
10.5%
lot 222
 
10.5%
never 124
 
5.9%

Most occurring characters

ValueCountFrequency (%)
r 1664
13.5%
i 1540
12.5%
1103
9.0%
n 1005
8.2%
e 907
7.4%
o 881
7.2%
a 881
7.2%
l 881
7.2%
d 881
7.2%
k 881
7.2%
Other values (4) 1664
13.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11185
91.0%
Space Separator 1103
 
9.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 1664
14.9%
i 1540
13.8%
n 1005
9.0%
e 907
8.1%
o 881
7.9%
a 881
7.9%
l 881
7.9%
d 881
7.9%
k 881
7.9%
s 659
 
5.9%
Other values (3) 1005
9.0%
Space Separator
ValueCountFrequency (%)
1103
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11185
91.0%
Common 1103
 
9.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 1664
14.9%
i 1540
13.8%
n 1005
9.0%
e 907
8.1%
o 881
7.9%
a 881
7.9%
l 881
7.9%
d 881
7.9%
k 881
7.9%
s 659
 
5.9%
Other values (3) 1005
9.0%
Common
ValueCountFrequency (%)
1103
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 1664
13.5%
i 1540
12.5%
1103
9.0%
n 1005
8.2%
e 907
7.4%
o 881
7.2%
a 881
7.2%
l 881
7.2%
d 881
7.2%
k 881
7.2%
Other values (4) 1664
13.5%

Healthy eating
Categorical

Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
3.0
504 
4.0
239 
2.0
137 
1.0
81 
5.0
 
46

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row3.0
3rd row3.0
4th row3.0
5th row4.0

Common Values

ValueCountFrequency (%)
3.0 504
49.9%
4.0 239
23.7%
2.0 137
 
13.6%
1.0 81
 
8.0%
5.0 46
 
4.6%
(Missing) 3
 
0.3%

Length

2024-03-31T21:53:27.112000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:27.441402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 504
50.0%
4.0 239
23.7%
2.0 137
 
13.6%
1.0 81
 
8.0%
5.0 46
 
4.6%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 504
16.7%
4 239
 
7.9%
2 137
 
4.5%
1 81
 
2.7%
5 46
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
3 504
25.0%
4 239
 
11.9%
2 137
 
6.8%
1 81
 
4.0%
5 46
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 504
16.7%
4 239
 
7.9%
2 137
 
4.5%
1 81
 
2.7%
5 46
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 504
16.7%
4 239
 
7.9%
2 137
 
4.5%
1 81
 
2.7%
5 46
 
1.5%

Daily events
Categorical

Distinct5
Distinct (%)0.5%
Missing7
Missing (%)0.7%
Memory size59.3 KiB
3.0
386 
2.0
224 
4.0
179 
5.0
137 
1.0
77 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3009
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row3.0
3rd row1.0
4th row4.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 386
38.2%
2.0 224
22.2%
4.0 179
17.7%
5.0 137
 
13.6%
1.0 77
 
7.6%
(Missing) 7
 
0.7%

Length

2024-03-31T21:53:27.915956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:28.245366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 386
38.5%
2.0 224
22.3%
4.0 179
17.8%
5.0 137
 
13.7%
1.0 77
 
7.7%

Most occurring characters

ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
3 386
 
12.8%
2 224
 
7.4%
4 179
 
5.9%
5 137
 
4.6%
1 77
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2006
66.7%
Other Punctuation 1003
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1003
50.0%
3 386
 
19.2%
2 224
 
11.2%
4 179
 
8.9%
5 137
 
6.8%
1 77
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 1003
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3009
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
3 386
 
12.8%
2 224
 
7.4%
4 179
 
5.9%
5 137
 
4.6%
1 77
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3009
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
3 386
 
12.8%
2 224
 
7.4%
4 179
 
5.9%
5 137
 
4.6%
1 77
 
2.6%
Distinct5
Distinct (%)0.5%
Missing5
Missing (%)0.5%
Memory size59.3 KiB
3.0
307 
2.0
239 
1.0
221 
4.0
151 
5.0
87 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3015
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row4.0
5th row1.0

Common Values

ValueCountFrequency (%)
3.0 307
30.4%
2.0 239
23.7%
1.0 221
21.9%
4.0 151
15.0%
5.0 87
 
8.6%
(Missing) 5
 
0.5%

Length

2024-03-31T21:53:28.612739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:29.261270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 307
30.5%
2.0 239
23.8%
1.0 221
22.0%
4.0 151
15.0%
5.0 87
 
8.7%

Most occurring characters

ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
3 307
 
10.2%
2 239
 
7.9%
1 221
 
7.3%
4 151
 
5.0%
5 87
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2010
66.7%
Other Punctuation 1005
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1005
50.0%
3 307
 
15.3%
2 239
 
11.9%
1 221
 
11.0%
4 151
 
7.5%
5 87
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 1005
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3015
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
3 307
 
10.2%
2 239
 
7.9%
1 221
 
7.3%
4 151
 
5.0%
5 87
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3015
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
3 307
 
10.2%
2 239
 
7.9%
1 221
 
7.3%
4 151
 
5.0%
5 87
 
2.9%

Writing notes
Categorical

Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
5.0
223 
3.0
223 
4.0
191 
2.0
187 
1.0
183 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row4.0
3rd row5.0
4th row4.0
5th row2.0

Common Values

ValueCountFrequency (%)
5.0 223
22.1%
3.0 223
22.1%
4.0 191
18.9%
2.0 187
18.5%
1.0 183
18.1%
(Missing) 3
 
0.3%

Length

2024-03-31T21:53:30.005073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:30.645419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 223
22.1%
3.0 223
22.1%
4.0 191
19.0%
2.0 187
18.6%
1.0 183
18.2%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
5 223
 
7.4%
3 223
 
7.4%
4 191
 
6.3%
2 187
 
6.2%
1 183
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
5 223
 
11.1%
3 223
 
11.1%
4 191
 
9.5%
2 187
 
9.3%
1 183
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
5 223
 
7.4%
3 223
 
7.4%
4 191
 
6.3%
2 187
 
6.2%
1 183
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
5 223
 
7.4%
3 223
 
7.4%
4 191
 
6.3%
2 187
 
6.2%
1 183
 
6.1%

Workaholism
Categorical

Distinct5
Distinct (%)0.5%
Missing5
Missing (%)0.5%
Memory size59.3 KiB
3.0
291 
2.0
223 
4.0
183 
5.0
163 
1.0
145 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3015
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row5.0
3rd row3.0
4th row5.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 291
28.8%
2.0 223
22.1%
4.0 183
18.1%
5.0 163
16.1%
1.0 145
14.4%
(Missing) 5
 
0.5%

Length

2024-03-31T21:53:31.312135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:32.042852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 291
29.0%
2.0 223
22.2%
4.0 183
18.2%
5.0 163
16.2%
1.0 145
14.4%

Most occurring characters

ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
3 291
 
9.7%
2 223
 
7.4%
4 183
 
6.1%
5 163
 
5.4%
1 145
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2010
66.7%
Other Punctuation 1005
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1005
50.0%
3 291
 
14.5%
2 223
 
11.1%
4 183
 
9.1%
5 163
 
8.1%
1 145
 
7.2%
Other Punctuation
ValueCountFrequency (%)
. 1005
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3015
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
3 291
 
9.7%
2 223
 
7.4%
4 183
 
6.1%
5 163
 
5.4%
1 145
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3015
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
3 291
 
9.7%
2 223
 
7.4%
4 183
 
6.1%
5 163
 
5.4%
1 145
 
4.8%

Thinking ahead
Categorical

Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
3.0
311 
4.0
262 
5.0
212 
2.0
175 
1.0
47 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row4.0
3rd row5.0
4th row3.0
5th row5.0

Common Values

ValueCountFrequency (%)
3.0 311
30.8%
4.0 262
25.9%
5.0 212
21.0%
2.0 175
17.3%
1.0 47
 
4.7%
(Missing) 3
 
0.3%

Length

2024-03-31T21:53:32.754769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:33.173271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 311
30.9%
4.0 262
26.0%
5.0 212
21.1%
2.0 175
17.4%
1.0 47
 
4.7%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 311
 
10.3%
4 262
 
8.7%
5 212
 
7.0%
2 175
 
5.8%
1 47
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
3 311
 
15.4%
4 262
 
13.0%
5 212
 
10.5%
2 175
 
8.7%
1 47
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 311
 
10.3%
4 262
 
8.7%
5 212
 
7.0%
2 175
 
5.8%
1 47
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 311
 
10.3%
4 262
 
8.7%
5 212
 
7.0%
2 175
 
5.8%
1 47
 
1.6%

Final judgement
Categorical

Distinct5
Distinct (%)0.5%
Missing7
Missing (%)0.7%
Memory size59.3 KiB
1.0
307 
3.0
305 
5.0
137 
2.0
133 
4.0
121 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3009
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row1.0
3rd row3.0
4th row1.0
5th row5.0

Common Values

ValueCountFrequency (%)
1.0 307
30.4%
3.0 305
30.2%
5.0 137
13.6%
2.0 133
13.2%
4.0 121
 
12.0%
(Missing) 7
 
0.7%

Length

2024-03-31T21:53:33.729655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:34.346284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 307
30.6%
3.0 305
30.4%
5.0 137
13.7%
2.0 133
13.3%
4.0 121
 
12.1%

Most occurring characters

ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
1 307
 
10.2%
3 305
 
10.1%
5 137
 
4.6%
2 133
 
4.4%
4 121
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2006
66.7%
Other Punctuation 1003
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1003
50.0%
1 307
 
15.3%
3 305
 
15.2%
5 137
 
6.8%
2 133
 
6.6%
4 121
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 1003
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3009
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
1 307
 
10.2%
3 305
 
10.1%
5 137
 
4.6%
2 133
 
4.4%
4 121
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3009
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
1 307
 
10.2%
3 305
 
10.1%
5 137
 
4.6%
2 133
 
4.4%
4 121
 
4.0%

Reliability
Categorical

Distinct5
Distinct (%)0.5%
Missing4
Missing (%)0.4%
Memory size59.3 KiB
4.0
400 
5.0
277 
3.0
249 
2.0
70 
1.0
 
10

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3018
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row4.0
3rd row4.0
4th row3.0
5th row5.0

Common Values

ValueCountFrequency (%)
4.0 400
39.6%
5.0 277
27.4%
3.0 249
24.7%
2.0 70
 
6.9%
1.0 10
 
1.0%
(Missing) 4
 
0.4%

Length

2024-03-31T21:53:34.887362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:35.273969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4.0 400
39.8%
5.0 277
27.5%
3.0 249
24.8%
2.0 70
 
7.0%
1.0 10
 
1.0%

Most occurring characters

ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
4 400
 
13.3%
5 277
 
9.2%
3 249
 
8.3%
2 70
 
2.3%
1 10
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2012
66.7%
Other Punctuation 1006
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1006
50.0%
4 400
 
19.9%
5 277
 
13.8%
3 249
 
12.4%
2 70
 
3.5%
1 10
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
4 400
 
13.3%
5 277
 
9.2%
3 249
 
8.3%
2 70
 
2.3%
1 10
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
4 400
 
13.3%
5 277
 
9.2%
3 249
 
8.3%
2 70
 
2.3%
1 10
 
0.3%

Keeping promises
Categorical

Distinct5
Distinct (%)0.5%
Missing1
Missing (%)0.1%
Memory size59.3 KiB
4.0
422 
5.0
321 
3.0
210 
2.0
44 
1.0
 
12

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3027
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row4.0
3rd row5.0
4th row4.0
5th row4.0

Common Values

ValueCountFrequency (%)
4.0 422
41.8%
5.0 321
31.8%
3.0 210
20.8%
2.0 44
 
4.4%
1.0 12
 
1.2%
(Missing) 1
 
0.1%

Length

2024-03-31T21:53:35.666192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:35.975283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4.0 422
41.8%
5.0 321
31.8%
3.0 210
20.8%
2.0 44
 
4.4%
1.0 12
 
1.2%

Most occurring characters

ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
4 422
13.9%
5 321
 
10.6%
3 210
 
6.9%
2 44
 
1.5%
1 12
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2018
66.7%
Other Punctuation 1009
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1009
50.0%
4 422
20.9%
5 321
 
15.9%
3 210
 
10.4%
2 44
 
2.2%
1 12
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 1009
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3027
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
4 422
13.9%
5 321
 
10.6%
3 210
 
6.9%
2 44
 
1.5%
1 12
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3027
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
4 422
13.9%
5 321
 
10.6%
3 210
 
6.9%
2 44
 
1.5%
1 12
 
0.4%

Loss of interest
Categorical

Distinct5
Distinct (%)0.5%
Missing4
Missing (%)0.4%
Memory size59.3 KiB
1.0
250 
3.0
240 
2.0
223 
4.0
156 
5.0
137 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3018
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row5.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 250
24.8%
3.0 240
23.8%
2.0 223
22.1%
4.0 156
15.4%
5.0 137
13.6%
(Missing) 4
 
0.4%

Length

2024-03-31T21:53:36.330055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:36.650334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 250
24.9%
3.0 240
23.9%
2.0 223
22.2%
4.0 156
15.5%
5.0 137
13.6%

Most occurring characters

ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
1 250
 
8.3%
3 240
 
8.0%
2 223
 
7.4%
4 156
 
5.2%
5 137
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2012
66.7%
Other Punctuation 1006
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1006
50.0%
1 250
 
12.4%
3 240
 
11.9%
2 223
 
11.1%
4 156
 
7.8%
5 137
 
6.8%
Other Punctuation
ValueCountFrequency (%)
. 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
1 250
 
8.3%
3 240
 
8.0%
2 223
 
7.4%
4 156
 
5.2%
5 137
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
1 250
 
8.3%
3 240
 
8.0%
2 223
 
7.4%
4 156
 
5.2%
5 137
 
4.5%
Distinct5
Distinct (%)0.5%
Missing6
Missing (%)0.6%
Memory size59.3 KiB
5.0
341 
3.0
275 
4.0
265 
2.0
81 
1.0
42 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3012
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row4.0
3rd row5.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
5.0 341
33.8%
3.0 275
27.2%
4.0 265
26.2%
2.0 81
 
8.0%
1.0 42
 
4.2%
(Missing) 6
 
0.6%

Length

2024-03-31T21:53:37.041497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:37.339236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 341
34.0%
3.0 275
27.4%
4.0 265
26.4%
2.0 81
 
8.1%
1.0 42
 
4.2%

Most occurring characters

ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
5 341
 
11.3%
3 275
 
9.1%
4 265
 
8.8%
2 81
 
2.7%
1 42
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2008
66.7%
Other Punctuation 1004
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1004
50.0%
5 341
 
17.0%
3 275
 
13.7%
4 265
 
13.2%
2 81
 
4.0%
1 42
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 1004
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3012
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
5 341
 
11.3%
3 275
 
9.1%
4 265
 
8.8%
2 81
 
2.7%
1 42
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
5 341
 
11.3%
3 275
 
9.1%
4 265
 
8.8%
2 81
 
2.7%
1 42
 
1.4%

Funniness
Categorical

Distinct5
Distinct (%)0.5%
Missing4
Missing (%)0.4%
Memory size59.3 KiB
3.0
356 
4.0
256 
5.0
168 
2.0
155 
1.0
71 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3018
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row3.0
3rd row2.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 356
35.2%
4.0 256
25.3%
5.0 168
16.6%
2.0 155
15.3%
1.0 71
 
7.0%
(Missing) 4
 
0.4%

Length

2024-03-31T21:53:37.742718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:38.072536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 356
35.4%
4.0 256
25.4%
5.0 168
16.7%
2.0 155
15.4%
1.0 71
 
7.1%

Most occurring characters

ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 356
 
11.8%
4 256
 
8.5%
5 168
 
5.6%
2 155
 
5.1%
1 71
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2012
66.7%
Other Punctuation 1006
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1006
50.0%
3 356
 
17.7%
4 256
 
12.7%
5 168
 
8.3%
2 155
 
7.7%
1 71
 
3.5%
Other Punctuation
ValueCountFrequency (%)
. 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 356
 
11.8%
4 256
 
8.5%
5 168
 
5.6%
2 155
 
5.1%
1 71
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 356
 
11.8%
4 256
 
8.5%
5 168
 
5.6%
2 155
 
5.1%
1 71
 
2.4%

Fake
Categorical

Distinct5
Distinct (%)0.5%
Missing1
Missing (%)0.1%
Memory size59.3 KiB
2.0
390 
1.0
317 
3.0
186 
4.0
85 
5.0
 
31

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3027
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row4.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 390
38.6%
1.0 317
31.4%
3.0 186
18.4%
4.0 85
 
8.4%
5.0 31
 
3.1%
(Missing) 1
 
0.1%

Length

2024-03-31T21:53:38.426157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:39.418913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2.0 390
38.7%
1.0 317
31.4%
3.0 186
18.4%
4.0 85
 
8.4%
5.0 31
 
3.1%

Most occurring characters

ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
2 390
 
12.9%
1 317
 
10.5%
3 186
 
6.1%
4 85
 
2.8%
5 31
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2018
66.7%
Other Punctuation 1009
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1009
50.0%
2 390
 
19.3%
1 317
 
15.7%
3 186
 
9.2%
4 85
 
4.2%
5 31
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 1009
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3027
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
2 390
 
12.9%
1 317
 
10.5%
3 186
 
6.1%
4 85
 
2.8%
5 31
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3027
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
2 390
 
12.9%
1 317
 
10.5%
3 186
 
6.1%
4 85
 
2.8%
5 31
 
1.0%

Criminal damage
Categorical

Distinct5
Distinct (%)0.5%
Missing7
Missing (%)0.7%
Memory size59.3 KiB
1.0
343 
2.0
205 
5.0
177 
4.0
140 
3.0
138 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3009
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row5.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 343
34.0%
2.0 205
20.3%
5.0 177
17.5%
4.0 140
13.9%
3.0 138
13.7%
(Missing) 7
 
0.7%

Length

2024-03-31T21:53:40.187185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:40.623634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 343
34.2%
2.0 205
20.4%
5.0 177
17.6%
4.0 140
14.0%
3.0 138
13.8%

Most occurring characters

ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
1 343
 
11.4%
2 205
 
6.8%
5 177
 
5.9%
4 140
 
4.7%
3 138
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2006
66.7%
Other Punctuation 1003
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1003
50.0%
1 343
 
17.1%
2 205
 
10.2%
5 177
 
8.8%
4 140
 
7.0%
3 138
 
6.9%
Other Punctuation
ValueCountFrequency (%)
. 1003
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3009
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
1 343
 
11.4%
2 205
 
6.8%
5 177
 
5.9%
4 140
 
4.7%
3 138
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3009
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
1 343
 
11.4%
2 205
 
6.8%
5 177
 
5.9%
4 140
 
4.7%
3 138
 
4.6%

Decision making
Categorical

Distinct5
Distinct (%)0.5%
Missing4
Missing (%)0.4%
Memory size59.3 KiB
3.0
339 
2.0
201 
4.0
192 
5.0
189 
1.0
85 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3018
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row3.0
4th row5.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 339
33.6%
2.0 201
19.9%
4.0 192
19.0%
5.0 189
18.7%
1.0 85
 
8.4%
(Missing) 4
 
0.4%

Length

2024-03-31T21:53:40.998920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:41.588601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 339
33.7%
2.0 201
20.0%
4.0 192
19.1%
5.0 189
18.8%
1.0 85
 
8.4%

Most occurring characters

ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 339
 
11.2%
2 201
 
6.7%
4 192
 
6.4%
5 189
 
6.3%
1 85
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2012
66.7%
Other Punctuation 1006
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1006
50.0%
3 339
 
16.8%
2 201
 
10.0%
4 192
 
9.5%
5 189
 
9.4%
1 85
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 339
 
11.2%
2 201
 
6.7%
4 192
 
6.4%
5 189
 
6.3%
1 85
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 339
 
11.2%
2 201
 
6.7%
4 192
 
6.4%
5 189
 
6.3%
1 85
 
2.8%

Elections
Categorical

Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
5.0
393 
1.0
214 
3.0
160 
4.0
150 
2.0
90 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row5.0
3rd row5.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 393
38.9%
1.0 214
21.2%
3.0 160
15.8%
4.0 150
 
14.9%
2.0 90
 
8.9%
(Missing) 3
 
0.3%

Length

2024-03-31T21:53:42.206208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:42.743573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 393
39.0%
1.0 214
21.3%
3.0 160
15.9%
4.0 150
 
14.9%
2.0 90
 
8.9%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
5 393
 
13.0%
1 214
 
7.1%
3 160
 
5.3%
4 150
 
5.0%
2 90
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
5 393
 
19.5%
1 214
 
10.6%
3 160
 
7.9%
4 150
 
7.4%
2 90
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
5 393
 
13.0%
1 214
 
7.1%
3 160
 
5.3%
4 150
 
5.0%
2 90
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
5 393
 
13.0%
1 214
 
7.1%
3 160
 
5.3%
4 150
 
5.0%
2 90
 
3.0%

Self-criticism
Categorical

Distinct5
Distinct (%)0.5%
Missing5
Missing (%)0.5%
Memory size59.3 KiB
5.0
280 
3.0
274 
4.0
269 
2.0
117 
1.0
65 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3015
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row4.0
3rd row4.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 280
27.7%
3.0 274
27.1%
4.0 269
26.6%
2.0 117
11.6%
1.0 65
 
6.4%
(Missing) 5
 
0.5%

Length

2024-03-31T21:53:43.199615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:43.611988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 280
27.9%
3.0 274
27.3%
4.0 269
26.8%
2.0 117
11.6%
1.0 65
 
6.5%

Most occurring characters

ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
5 280
 
9.3%
3 274
 
9.1%
4 269
 
8.9%
2 117
 
3.9%
1 65
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2010
66.7%
Other Punctuation 1005
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1005
50.0%
5 280
 
13.9%
3 274
 
13.6%
4 269
 
13.4%
2 117
 
5.8%
1 65
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 1005
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3015
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
5 280
 
9.3%
3 274
 
9.1%
4 269
 
8.9%
2 117
 
3.9%
1 65
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3015
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
5 280
 
9.3%
3 274
 
9.1%
4 269
 
8.9%
2 117
 
3.9%
1 65
 
2.2%

Judgment calls
Categorical

Distinct5
Distinct (%)0.5%
Missing4
Missing (%)0.4%
Memory size59.3 KiB
5.0
374 
4.0
327 
3.0
235 
2.0
58 
1.0
 
12

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3018
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row4.0
3rd row4.0
4th row4.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 374
37.0%
4.0 327
32.4%
3.0 235
23.3%
2.0 58
 
5.7%
1.0 12
 
1.2%
(Missing) 4
 
0.4%

Length

2024-03-31T21:53:43.926666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:44.248871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 374
37.2%
4.0 327
32.5%
3.0 235
23.4%
2.0 58
 
5.8%
1.0 12
 
1.2%

Most occurring characters

ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
5 374
 
12.4%
4 327
 
10.8%
3 235
 
7.8%
2 58
 
1.9%
1 12
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2012
66.7%
Other Punctuation 1006
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1006
50.0%
5 374
 
18.6%
4 327
 
16.3%
3 235
 
11.7%
2 58
 
2.9%
1 12
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
5 374
 
12.4%
4 327
 
10.8%
3 235
 
7.8%
2 58
 
1.9%
1 12
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
5 374
 
12.4%
4 327
 
10.8%
3 235
 
7.8%
2 58
 
1.9%
1 12
 
0.4%

Hypochondria
Categorical

Distinct5
Distinct (%)0.5%
Missing4
Missing (%)0.4%
Memory size59.3 KiB
1.0
521 
2.0
211 
3.0
156 
4.0
77 
5.0
 
41

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3018
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 521
51.6%
2.0 211
20.9%
3.0 156
 
15.4%
4.0 77
 
7.6%
5.0 41
 
4.1%
(Missing) 4
 
0.4%

Length

2024-03-31T21:53:44.549430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:44.811657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 521
51.8%
2.0 211
21.0%
3.0 156
 
15.5%
4.0 77
 
7.7%
5.0 41
 
4.1%

Most occurring characters

ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
1 521
17.3%
2 211
 
7.0%
3 156
 
5.2%
4 77
 
2.6%
5 41
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2012
66.7%
Other Punctuation 1006
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1006
50.0%
1 521
25.9%
2 211
 
10.5%
3 156
 
7.8%
4 77
 
3.8%
5 41
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
1 521
17.3%
2 211
 
7.0%
3 156
 
5.2%
4 77
 
2.6%
5 41
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
1 521
17.3%
2 211
 
7.0%
3 156
 
5.2%
4 77
 
2.6%
5 41
 
1.4%

Empathy
Categorical

Distinct5
Distinct (%)0.5%
Missing5
Missing (%)0.5%
Memory size59.3 KiB
5.0
369 
4.0
296 
3.0
211 
2.0
87 
1.0
42 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3015
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row5.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
5.0 369
36.5%
4.0 296
29.3%
3.0 211
20.9%
2.0 87
 
8.6%
1.0 42
 
4.2%
(Missing) 5
 
0.5%

Length

2024-03-31T21:53:45.129461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:45.389519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 369
36.7%
4.0 296
29.5%
3.0 211
21.0%
2.0 87
 
8.7%
1.0 42
 
4.2%

Most occurring characters

ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
5 369
 
12.2%
4 296
 
9.8%
3 211
 
7.0%
2 87
 
2.9%
1 42
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2010
66.7%
Other Punctuation 1005
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1005
50.0%
5 369
 
18.4%
4 296
 
14.7%
3 211
 
10.5%
2 87
 
4.3%
1 42
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 1005
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3015
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
5 369
 
12.2%
4 296
 
9.8%
3 211
 
7.0%
2 87
 
2.9%
1 42
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3015
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
5 369
 
12.2%
4 296
 
9.8%
3 211
 
7.0%
2 87
 
2.9%
1 42
 
1.4%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size57.3 KiB
1
362 
2
287 
3
190 
4
110 
5
61 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1010
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row5
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 362
35.8%
2 287
28.4%
3 190
18.8%
4 110
 
10.9%
5 61
 
6.0%

Length

2024-03-31T21:53:46.051505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:46.302328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 362
35.8%
2 287
28.4%
3 190
18.8%
4 110
 
10.9%
5 61
 
6.0%

Most occurring characters

ValueCountFrequency (%)
1 362
35.8%
2 287
28.4%
3 190
18.8%
4 110
 
10.9%
5 61
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1010
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 362
35.8%
2 287
28.4%
3 190
18.8%
4 110
 
10.9%
5 61
 
6.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1010
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 362
35.8%
2 287
28.4%
3 190
18.8%
4 110
 
10.9%
5 61
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1010
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 362
35.8%
2 287
28.4%
3 190
18.8%
4 110
 
10.9%
5 61
 
6.0%

Giving
Categorical

Distinct5
Distinct (%)0.5%
Missing6
Missing (%)0.6%
Memory size59.3 KiB
3.0
295 
2.0
197 
4.0
175 
1.0
169 
5.0
168 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3012
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row2.0
3rd row5.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 295
29.2%
2.0 197
19.5%
4.0 175
17.3%
1.0 169
16.7%
5.0 168
16.6%
(Missing) 6
 
0.6%

Length

2024-03-31T21:53:46.588696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:46.818410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 295
29.4%
2.0 197
19.6%
4.0 175
17.4%
1.0 169
16.8%
5.0 168
16.7%

Most occurring characters

ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
3 295
 
9.8%
2 197
 
6.5%
4 175
 
5.8%
1 169
 
5.6%
5 168
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2008
66.7%
Other Punctuation 1004
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1004
50.0%
3 295
 
14.7%
2 197
 
9.8%
4 175
 
8.7%
1 169
 
8.4%
5 168
 
8.4%
Other Punctuation
ValueCountFrequency (%)
. 1004
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3012
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
3 295
 
9.8%
2 197
 
6.5%
4 175
 
5.8%
1 169
 
5.6%
5 168
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
3 295
 
9.8%
2 197
 
6.5%
4 175
 
5.8%
1 169
 
5.6%
5 168
 
5.6%
Distinct5
Distinct (%)0.5%
Missing7
Missing (%)0.7%
Memory size59.3 KiB
5.0
472 
4.0
212 
3.0
178 
2.0
100 
1.0
 
41

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3009
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row4.0
3rd row4.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
5.0 472
46.7%
4.0 212
21.0%
3.0 178
 
17.6%
2.0 100
 
9.9%
1.0 41
 
4.1%
(Missing) 7
 
0.7%

Length

2024-03-31T21:53:47.302008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:47.609459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 472
47.1%
4.0 212
21.1%
3.0 178
 
17.7%
2.0 100
 
10.0%
1.0 41
 
4.1%

Most occurring characters

ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
5 472
15.7%
4 212
 
7.0%
3 178
 
5.9%
2 100
 
3.3%
1 41
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2006
66.7%
Other Punctuation 1003
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1003
50.0%
5 472
23.5%
4 212
 
10.6%
3 178
 
8.9%
2 100
 
5.0%
1 41
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 1003
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3009
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
5 472
15.7%
4 212
 
7.0%
3 178
 
5.9%
2 100
 
3.3%
1 41
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3009
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1003
33.3%
0 1003
33.3%
5 472
15.7%
4 212
 
7.0%
3 178
 
5.9%
2 100
 
3.3%
1 41
 
1.4%

Borrowed stuff
Categorical

Distinct5
Distinct (%)0.5%
Missing2
Missing (%)0.2%
Memory size59.3 KiB
5.0
413 
4.0
326 
3.0
171 
2.0
70 
1.0
 
28

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3024
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row3.0
3rd row2.0
4th row5.0
5th row4.0

Common Values

ValueCountFrequency (%)
5.0 413
40.9%
4.0 326
32.3%
3.0 171
16.9%
2.0 70
 
6.9%
1.0 28
 
2.8%
(Missing) 2
 
0.2%

Length

2024-03-31T21:53:47.903270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:48.179106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 413
41.0%
4.0 326
32.3%
3.0 171
17.0%
2.0 70
 
6.9%
1.0 28
 
2.8%

Most occurring characters

ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
5 413
13.7%
4 326
 
10.8%
3 171
 
5.7%
2 70
 
2.3%
1 28
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
66.7%
Other Punctuation 1008
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1008
50.0%
5 413
20.5%
4 326
 
16.2%
3 171
 
8.5%
2 70
 
3.5%
1 28
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 1008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
5 413
13.7%
4 326
 
10.8%
3 171
 
5.7%
2 70
 
2.3%
1 28
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
5 413
13.7%
4 326
 
10.8%
3 171
 
5.7%
2 70
 
2.3%
1 28
 
0.9%

Loneliness
Categorical

Distinct5
Distinct (%)0.5%
Missing1
Missing (%)0.1%
Memory size59.3 KiB
3.0
359 
2.0
265 
4.0
167 
1.0
113 
5.0
105 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3027
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row5.0
4th row5.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 359
35.5%
2.0 265
26.2%
4.0 167
16.5%
1.0 113
 
11.2%
5.0 105
 
10.4%
(Missing) 1
 
0.1%

Length

2024-03-31T21:53:48.459171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:48.737698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 359
35.6%
2.0 265
26.3%
4.0 167
16.6%
1.0 113
 
11.2%
5.0 105
 
10.4%

Most occurring characters

ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
3 359
 
11.9%
2 265
 
8.8%
4 167
 
5.5%
1 113
 
3.7%
5 105
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2018
66.7%
Other Punctuation 1009
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1009
50.0%
3 359
 
17.8%
2 265
 
13.1%
4 167
 
8.3%
1 113
 
5.6%
5 105
 
5.2%
Other Punctuation
ValueCountFrequency (%)
. 1009
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3027
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
3 359
 
11.9%
2 265
 
8.8%
4 167
 
5.5%
1 113
 
3.7%
5 105
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3027
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
3 359
 
11.9%
2 265
 
8.8%
4 167
 
5.5%
1 113
 
3.7%
5 105
 
3.5%
Distinct5
Distinct (%)0.5%
Missing4
Missing (%)0.4%
Memory size59.3 KiB
5.0
415 
3.0
225 
2.0
168 
4.0
161 
1.0
 
37

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3018
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row4.0
3rd row3.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 415
41.1%
3.0 225
22.3%
2.0 168
16.6%
4.0 161
 
15.9%
1.0 37
 
3.7%
(Missing) 4
 
0.4%

Length

2024-03-31T21:53:49.239522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:49.787232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 415
41.3%
3.0 225
22.4%
2.0 168
16.7%
4.0 161
 
16.0%
1.0 37
 
3.7%

Most occurring characters

ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
5 415
13.8%
3 225
 
7.5%
2 168
 
5.6%
4 161
 
5.3%
1 37
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2012
66.7%
Other Punctuation 1006
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1006
50.0%
5 415
20.6%
3 225
 
11.2%
2 168
 
8.3%
4 161
 
8.0%
1 37
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
5 415
13.8%
3 225
 
7.5%
2 168
 
5.6%
4 161
 
5.3%
1 37
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
5 415
13.8%
3 225
 
7.5%
2 168
 
5.6%
4 161
 
5.3%
1 37
 
1.2%

Health
Categorical

Distinct5
Distinct (%)0.5%
Missing1
Missing (%)0.1%
Memory size59.3 KiB
3.0
401 
4.0
266 
2.0
135 
5.0
134 
1.0
73 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3027
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row4.0
3rd row2.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 401
39.7%
4.0 266
26.3%
2.0 135
 
13.4%
5.0 134
 
13.3%
1.0 73
 
7.2%
(Missing) 1
 
0.1%

Length

2024-03-31T21:53:50.067965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:50.330602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 401
39.7%
4.0 266
26.4%
2.0 135
 
13.4%
5.0 134
 
13.3%
1.0 73
 
7.2%

Most occurring characters

ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
3 401
 
13.2%
4 266
 
8.8%
2 135
 
4.5%
5 134
 
4.4%
1 73
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2018
66.7%
Other Punctuation 1009
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1009
50.0%
3 401
 
19.9%
4 266
 
13.2%
2 135
 
6.7%
5 134
 
6.6%
1 73
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 1009
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3027
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
3 401
 
13.2%
4 266
 
8.8%
2 135
 
4.5%
5 134
 
4.4%
1 73
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3027
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1009
33.3%
0 1009
33.3%
3 401
 
13.2%
4 266
 
8.8%
2 135
 
4.5%
5 134
 
4.4%
1 73
 
2.4%
Distinct5
Distinct (%)0.5%
Missing2
Missing (%)0.2%
Memory size59.3 KiB
3.0
296 
2.0
214 
4.0
186 
1.0
161 
5.0
151 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3024
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row4.0
3rd row5.0
4th row5.0
5th row4.0

Common Values

ValueCountFrequency (%)
3.0 296
29.3%
2.0 214
21.2%
4.0 186
18.4%
1.0 161
15.9%
5.0 151
15.0%
(Missing) 2
 
0.2%

Length

2024-03-31T21:53:50.664094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:50.923954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 296
29.4%
2.0 214
21.2%
4.0 186
18.5%
1.0 161
16.0%
5.0 151
15.0%

Most occurring characters

ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 296
 
9.8%
2 214
 
7.1%
4 186
 
6.2%
1 161
 
5.3%
5 151
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
66.7%
Other Punctuation 1008
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1008
50.0%
3 296
 
14.7%
2 214
 
10.6%
4 186
 
9.2%
1 161
 
8.0%
5 151
 
7.5%
Other Punctuation
ValueCountFrequency (%)
. 1008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 296
 
9.8%
2 214
 
7.1%
4 186
 
6.2%
1 161
 
5.3%
5 151
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 296
 
9.8%
2 214
 
7.1%
4 186
 
6.2%
1 161
 
5.3%
5 151
 
5.0%

God
Categorical

Distinct5
Distinct (%)0.5%
Missing2
Missing (%)0.2%
Memory size59.3 KiB
5.0
318 
3.0
216 
1.0
187 
4.0
165 
2.0
122 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3024
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row5.0
4th row4.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 318
31.5%
3.0 216
21.4%
1.0 187
18.5%
4.0 165
16.3%
2.0 122
 
12.1%
(Missing) 2
 
0.2%

Length

2024-03-31T21:53:51.208704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:51.442537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 318
31.5%
3.0 216
21.4%
1.0 187
18.6%
4.0 165
16.4%
2.0 122
 
12.1%

Most occurring characters

ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
5 318
 
10.5%
3 216
 
7.1%
1 187
 
6.2%
4 165
 
5.5%
2 122
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
66.7%
Other Punctuation 1008
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1008
50.0%
5 318
 
15.8%
3 216
 
10.7%
1 187
 
9.3%
4 165
 
8.2%
2 122
 
6.1%
Other Punctuation
ValueCountFrequency (%)
. 1008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
5 318
 
10.5%
3 216
 
7.1%
1 187
 
6.2%
4 165
 
5.5%
2 122
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
5 318
 
10.5%
3 216
 
7.1%
1 187
 
6.2%
4 165
 
5.5%
2 122
 
4.0%

Dreams
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size57.3 KiB
3
591 
4
313 
2
 
59
5
 
35
1
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1010
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row1
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 591
58.5%
4 313
31.0%
2 59
 
5.8%
5 35
 
3.5%
1 12
 
1.2%

Length

2024-03-31T21:53:51.755881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:51.989792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 591
58.5%
4 313
31.0%
2 59
 
5.8%
5 35
 
3.5%
1 12
 
1.2%

Most occurring characters

ValueCountFrequency (%)
3 591
58.5%
4 313
31.0%
2 59
 
5.8%
5 35
 
3.5%
1 12
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1010
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 591
58.5%
4 313
31.0%
2 59
 
5.8%
5 35
 
3.5%
1 12
 
1.2%

Most occurring scripts

ValueCountFrequency (%)
Common 1010
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 591
58.5%
4 313
31.0%
2 59
 
5.8%
5 35
 
3.5%
1 12
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1010
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 591
58.5%
4 313
31.0%
2 59
 
5.8%
5 35
 
3.5%
1 12
 
1.2%

Charity
Categorical

Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
1.0
356 
2.0
299 
3.0
266 
4.0
63 
5.0
 
23

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row3.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 356
35.2%
2.0 299
29.6%
3.0 266
26.3%
4.0 63
 
6.2%
5.0 23
 
2.3%
(Missing) 3
 
0.3%

Length

2024-03-31T21:53:52.274958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:52.505527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 356
35.4%
2.0 299
29.7%
3.0 266
26.4%
4.0 63
 
6.3%
5.0 23
 
2.3%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
1 356
 
11.8%
2 299
 
9.9%
3 266
 
8.8%
4 63
 
2.1%
5 23
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
1 356
 
17.7%
2 299
 
14.8%
3 266
 
13.2%
4 63
 
3.1%
5 23
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
1 356
 
11.8%
2 299
 
9.9%
3 266
 
8.8%
4 63
 
2.1%
5 23
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
1 356
 
11.8%
2 299
 
9.9%
3 266
 
8.8%
4 63
 
2.1%
5 23
 
0.8%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size57.3 KiB
3
427 
4
237 
5
169 
2
126 
1
51 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1010
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row1
5th row3

Common Values

ValueCountFrequency (%)
3 427
42.3%
4 237
23.5%
5 169
 
16.7%
2 126
 
12.5%
1 51
 
5.0%

Length

2024-03-31T21:53:52.787202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:53.043219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 427
42.3%
4 237
23.5%
5 169
 
16.7%
2 126
 
12.5%
1 51
 
5.0%

Most occurring characters

ValueCountFrequency (%)
3 427
42.3%
4 237
23.5%
5 169
 
16.7%
2 126
 
12.5%
1 51
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1010
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 427
42.3%
4 237
23.5%
5 169
 
16.7%
2 126
 
12.5%
1 51
 
5.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1010
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 427
42.3%
4 237
23.5%
5 169
 
16.7%
2 126
 
12.5%
1 51
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1010
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 427
42.3%
4 237
23.5%
5 169
 
16.7%
2 126
 
12.5%
1 51
 
5.0%

Punctuality
Categorical

Distinct3
Distinct (%)0.3%
Missing2
Missing (%)0.2%
Memory size75.2 KiB
i am always on time
399 
i am often early
327 
i am often running late
282 

Length

Max length23
Median length19
Mean length19.145833
Min length16

Characters and Unicode

Total characters19299
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowi am always on time
2nd rowi am often early
3rd rowi am often running late
4th rowi am often early
5th rowi am always on time

Common Values

ValueCountFrequency (%)
i am always on time 399
39.5%
i am often early 327
32.4%
i am often running late 282
27.9%
(Missing) 2
 
0.2%

Length

2024-03-31T21:53:53.333968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:53.593853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1008
21.4%
am 1008
21.4%
often 609
12.9%
always 399
 
8.5%
on 399
 
8.5%
time 399
 
8.5%
early 327
 
6.9%
running 282
 
6.0%
late 282
 
6.0%

Most occurring characters

ValueCountFrequency (%)
3705
19.2%
a 2415
12.5%
n 1854
9.6%
i 1689
8.8%
e 1617
8.4%
m 1407
 
7.3%
t 1290
 
6.7%
l 1008
 
5.2%
o 1008
 
5.2%
y 726
 
3.8%
Other values (6) 2580
13.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15594
80.8%
Space Separator 3705
 
19.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2415
15.5%
n 1854
11.9%
i 1689
10.8%
e 1617
10.4%
m 1407
9.0%
t 1290
8.3%
l 1008
6.5%
o 1008
6.5%
y 726
 
4.7%
f 609
 
3.9%
Other values (5) 1971
12.6%
Space Separator
ValueCountFrequency (%)
3705
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15594
80.8%
Common 3705
 
19.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2415
15.5%
n 1854
11.9%
i 1689
10.8%
e 1617
10.4%
m 1407
9.0%
t 1290
8.3%
l 1008
6.5%
o 1008
6.5%
y 726
 
4.7%
f 609
 
3.9%
Other values (5) 1971
12.6%
Common
ValueCountFrequency (%)
3705
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19299
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3705
19.2%
a 2415
12.5%
n 1854
9.6%
i 1689
8.8%
e 1617
8.4%
m 1407
 
7.3%
t 1290
 
6.7%
l 1008
 
5.2%
o 1008
 
5.2%
y 726
 
3.8%
Other values (6) 2580
13.4%

Lying
Categorical

Distinct4
Distinct (%)0.4%
Missing2
Missing (%)0.2%
Memory size71.9 KiB
sometimes
549 
only to avoid hurting someone
270 
everytime it suits me
138 
never
 
51

Length

Max length29
Median length9
Mean length15.797619
Min length5

Characters and Unicode

Total characters15924
Distinct characters17
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownever
2nd rowsometimes
3rd rowsometimes
4th rowonly to avoid hurting someone
5th roweverytime it suits me

Common Values

ValueCountFrequency (%)
sometimes 549
54.4%
only to avoid hurting someone 270
26.7%
everytime it suits me 138
 
13.7%
never 51
 
5.0%
(Missing) 2
 
0.2%

Length

2024-03-31T21:53:53.865413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:54.123656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
sometimes 549
21.9%
only 270
10.8%
to 270
10.8%
avoid 270
10.8%
hurting 270
10.8%
someone 270
10.8%
everytime 138
 
5.5%
it 138
 
5.5%
suits 138
 
5.5%
me 138
 
5.5%

Most occurring characters

ValueCountFrequency (%)
e 2292
14.4%
o 1899
11.9%
s 1644
10.3%
m 1644
10.3%
t 1503
9.4%
i 1503
9.4%
1494
9.4%
n 861
 
5.4%
v 459
 
2.9%
r 459
 
2.9%
Other values (7) 2166
13.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14430
90.6%
Space Separator 1494
 
9.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2292
15.9%
o 1899
13.2%
s 1644
11.4%
m 1644
11.4%
t 1503
10.4%
i 1503
10.4%
n 861
 
6.0%
v 459
 
3.2%
r 459
 
3.2%
u 408
 
2.8%
Other values (6) 1758
12.2%
Space Separator
ValueCountFrequency (%)
1494
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14430
90.6%
Common 1494
 
9.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2292
15.9%
o 1899
13.2%
s 1644
11.4%
m 1644
11.4%
t 1503
10.4%
i 1503
10.4%
n 861
 
6.0%
v 459
 
3.2%
r 459
 
3.2%
u 408
 
2.8%
Other values (6) 1758
12.2%
Common
ValueCountFrequency (%)
1494
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15924
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 2292
14.4%
o 1899
11.9%
s 1644
10.3%
m 1644
10.3%
t 1503
9.4%
i 1503
9.4%
1494
9.4%
n 861
 
5.4%
v 459
 
2.9%
r 459
 
2.9%
Other values (7) 2166
13.6%

Waiting
Categorical

Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
3.0
394 
2.0
296 
4.0
148 
1.0
130 
5.0
 
39

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row3.0
3rd row2.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 394
39.0%
2.0 296
29.3%
4.0 148
 
14.7%
1.0 130
 
12.9%
5.0 39
 
3.9%
(Missing) 3
 
0.3%

Length

2024-03-31T21:53:54.396139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:54.646546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 394
39.1%
2.0 296
29.4%
4.0 148
 
14.7%
1.0 130
 
12.9%
5.0 39
 
3.9%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 394
 
13.0%
2 296
 
9.8%
4 148
 
4.9%
1 130
 
4.3%
5 39
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
3 394
 
19.6%
2 296
 
14.7%
4 148
 
7.3%
1 130
 
6.5%
5 39
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 394
 
13.0%
2 296
 
9.8%
4 148
 
4.9%
1 130
 
4.3%
5 39
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 394
 
13.0%
2 296
 
9.8%
4 148
 
4.9%
1 130
 
4.3%
5 39
 
1.3%

New environment
Categorical

Distinct5
Distinct (%)0.5%
Missing2
Missing (%)0.2%
Memory size59.3 KiB
3.0
304 
4.0
295 
5.0
220 
2.0
122 
1.0
67 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3024
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row4.0
3rd row3.0
4th row1.0
5th row4.0

Common Values

ValueCountFrequency (%)
3.0 304
30.1%
4.0 295
29.2%
5.0 220
21.8%
2.0 122
12.1%
1.0 67
 
6.6%
(Missing) 2
 
0.2%

Length

2024-03-31T21:53:54.957714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:55.193162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 304
30.2%
4.0 295
29.3%
5.0 220
21.8%
2.0 122
12.1%
1.0 67
 
6.6%

Most occurring characters

ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 304
 
10.1%
4 295
 
9.8%
5 220
 
7.3%
2 122
 
4.0%
1 67
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
66.7%
Other Punctuation 1008
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1008
50.0%
3 304
 
15.1%
4 295
 
14.6%
5 220
 
10.9%
2 122
 
6.1%
1 67
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 1008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 304
 
10.1%
4 295
 
9.8%
5 220
 
7.3%
2 122
 
4.0%
1 67
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 304
 
10.1%
4 295
 
9.8%
5 220
 
7.3%
2 122
 
4.0%
1 67
 
2.2%

Mood swings
Categorical

Distinct5
Distinct (%)0.5%
Missing4
Missing (%)0.4%
Memory size59.3 KiB
3.0
379 
4.0
239 
2.0
209 
5.0
147 
1.0
 
32

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3018
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row4.0
3rd row4.0
4th row5.0
5th row2.0

Common Values

ValueCountFrequency (%)
3.0 379
37.5%
4.0 239
23.7%
2.0 209
20.7%
5.0 147
 
14.6%
1.0 32
 
3.2%
(Missing) 4
 
0.4%

Length

2024-03-31T21:53:55.490046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:55.725106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 379
37.7%
4.0 239
23.8%
2.0 209
20.8%
5.0 147
 
14.6%
1.0 32
 
3.2%

Most occurring characters

ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 379
 
12.6%
4 239
 
7.9%
2 209
 
6.9%
5 147
 
4.9%
1 32
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2012
66.7%
Other Punctuation 1006
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1006
50.0%
3 379
 
18.8%
4 239
 
11.9%
2 209
 
10.4%
5 147
 
7.3%
1 32
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 379
 
12.6%
4 239
 
7.9%
2 209
 
6.9%
5 147
 
4.9%
1 32
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 379
 
12.6%
4 239
 
7.9%
2 209
 
6.9%
5 147
 
4.9%
1 32
 
1.1%
Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
4.0
379 
3.0
345 
5.0
176 
2.0
85 
1.0
 
22

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row4.0
3rd row3.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
4.0 379
37.5%
3.0 345
34.2%
5.0 176
17.4%
2.0 85
 
8.4%
1.0 22
 
2.2%
(Missing) 3
 
0.3%

Length

2024-03-31T21:53:56.006165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:56.240425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4.0 379
37.6%
3.0 345
34.3%
5.0 176
17.5%
2.0 85
 
8.4%
1.0 22
 
2.2%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
4 379
 
12.5%
3 345
 
11.4%
5 176
 
5.8%
2 85
 
2.8%
1 22
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
4 379
 
18.8%
3 345
 
17.1%
5 176
 
8.7%
2 85
 
4.2%
1 22
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
4 379
 
12.5%
3 345
 
11.4%
5 176
 
5.8%
2 85
 
2.8%
1 22
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
4 379
 
12.5%
3 345
 
11.4%
5 176
 
5.8%
2 85
 
2.8%
1 22
 
0.7%

Socializing
Categorical

Distinct5
Distinct (%)0.5%
Missing5
Missing (%)0.5%
Memory size59.3 KiB
3.0
386 
4.0
234 
2.0
183 
5.0
128 
1.0
74 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3015
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row4.0
3rd row5.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 386
38.2%
4.0 234
23.2%
2.0 183
18.1%
5.0 128
 
12.7%
1.0 74
 
7.3%
(Missing) 5
 
0.5%

Length

2024-03-31T21:53:56.521425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:56.783024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 386
38.4%
4.0 234
23.3%
2.0 183
18.2%
5.0 128
 
12.7%
1.0 74
 
7.4%

Most occurring characters

ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
3 386
 
12.8%
4 234
 
7.8%
2 183
 
6.1%
5 128
 
4.2%
1 74
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2010
66.7%
Other Punctuation 1005
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1005
50.0%
3 386
 
19.2%
4 234
 
11.6%
2 183
 
9.1%
5 128
 
6.4%
1 74
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 1005
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3015
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
3 386
 
12.8%
4 234
 
7.8%
2 183
 
6.1%
5 128
 
4.2%
1 74
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3015
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
3 386
 
12.8%
4 234
 
7.8%
2 183
 
6.1%
5 128
 
4.2%
1 74
 
2.5%

Achievements
Categorical

Distinct5
Distinct (%)0.5%
Missing2
Missing (%)0.2%
Memory size59.3 KiB
3.0
470 
4.0
216 
2.0
207 
1.0
69 
5.0
 
46

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3024
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row2.0
3rd row3.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 470
46.5%
4.0 216
21.4%
2.0 207
20.5%
1.0 69
 
6.8%
5.0 46
 
4.6%
(Missing) 2
 
0.2%

Length

2024-03-31T21:53:57.053101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:57.290089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 470
46.6%
4.0 216
21.4%
2.0 207
20.5%
1.0 69
 
6.8%
5.0 46
 
4.6%

Most occurring characters

ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 470
15.5%
4 216
 
7.1%
2 207
 
6.8%
1 69
 
2.3%
5 46
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
66.7%
Other Punctuation 1008
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1008
50.0%
3 470
23.3%
4 216
 
10.7%
2 207
 
10.3%
1 69
 
3.4%
5 46
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 1008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 470
15.5%
4 216
 
7.1%
2 207
 
6.8%
1 69
 
2.3%
5 46
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 470
15.5%
4 216
 
7.1%
2 207
 
6.8%
1 69
 
2.3%
5 46
 
1.5%
Distinct5
Distinct (%)0.5%
Missing6
Missing (%)0.6%
Memory size59.3 KiB
3.0
332 
4.0
266 
2.0
169 
1.0
125 
5.0
112 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3012
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row4.0
3rd row4.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 332
32.9%
4.0 266
26.3%
2.0 169
16.7%
1.0 125
 
12.4%
5.0 112
 
11.1%
(Missing) 6
 
0.6%

Length

2024-03-31T21:53:57.551550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:57.802871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 332
33.1%
4.0 266
26.5%
2.0 169
16.8%
1.0 125
 
12.5%
5.0 112
 
11.2%

Most occurring characters

ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
3 332
 
11.0%
4 266
 
8.8%
2 169
 
5.6%
1 125
 
4.2%
5 112
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2008
66.7%
Other Punctuation 1004
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1004
50.0%
3 332
 
16.5%
4 266
 
13.2%
2 169
 
8.4%
1 125
 
6.2%
5 112
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 1004
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3012
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
3 332
 
11.0%
4 266
 
8.8%
2 169
 
5.6%
1 125
 
4.2%
5 112
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1004
33.3%
0 1004
33.3%
3 332
 
11.0%
4 266
 
8.8%
2 169
 
5.6%
1 125
 
4.2%
5 112
 
3.7%

Children
Categorical

Distinct5
Distinct (%)0.5%
Missing4
Missing (%)0.4%
Memory size59.3 KiB
3.0
309 
5.0
280 
4.0
260 
2.0
119 
1.0
38 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3018
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row2.0
3rd row4.0
4th row2.0
5th row5.0

Common Values

ValueCountFrequency (%)
3.0 309
30.6%
5.0 280
27.7%
4.0 260
25.7%
2.0 119
 
11.8%
1.0 38
 
3.8%
(Missing) 4
 
0.4%

Length

2024-03-31T21:53:58.086149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:58.318319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 309
30.7%
5.0 280
27.8%
4.0 260
25.8%
2.0 119
 
11.8%
1.0 38
 
3.8%

Most occurring characters

ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 309
 
10.2%
5 280
 
9.3%
4 260
 
8.6%
2 119
 
3.9%
1 38
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2012
66.7%
Other Punctuation 1006
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1006
50.0%
3 309
 
15.4%
5 280
 
13.9%
4 260
 
12.9%
2 119
 
5.9%
1 38
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 309
 
10.2%
5 280
 
9.3%
4 260
 
8.6%
2 119
 
3.9%
1 38
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 309
 
10.2%
5 280
 
9.3%
4 260
 
8.6%
2 119
 
3.9%
1 38
 
1.3%

Assertiveness
Categorical

Distinct5
Distinct (%)0.5%
Missing2
Missing (%)0.2%
Memory size59.3 KiB
3.0
321 
4.0
292 
5.0
224 
2.0
125 
1.0
46 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3024
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row3.0
4th row5.0
5th row4.0

Common Values

ValueCountFrequency (%)
3.0 321
31.8%
4.0 292
28.9%
5.0 224
22.2%
2.0 125
 
12.4%
1.0 46
 
4.6%
(Missing) 2
 
0.2%

Length

2024-03-31T21:53:58.646984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:58.927427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 321
31.8%
4.0 292
29.0%
5.0 224
22.2%
2.0 125
 
12.4%
1.0 46
 
4.6%

Most occurring characters

ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 321
 
10.6%
4 292
 
9.7%
5 224
 
7.4%
2 125
 
4.1%
1 46
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
66.7%
Other Punctuation 1008
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1008
50.0%
3 321
 
15.9%
4 292
 
14.5%
5 224
 
11.1%
2 125
 
6.2%
1 46
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 1008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 321
 
10.6%
4 292
 
9.7%
5 224
 
7.4%
2 125
 
4.1%
1 46
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 321
 
10.6%
4 292
 
9.7%
5 224
 
7.4%
2 125
 
4.1%
1 46
 
1.5%

Getting angry
Categorical

Distinct5
Distinct (%)0.5%
Missing4
Missing (%)0.4%
Memory size59.3 KiB
3.0
338 
4.0
227 
2.0
202 
1.0
122 
5.0
117 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3018
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row5.0
3rd row4.0
4th row5.0
5th row2.0

Common Values

ValueCountFrequency (%)
3.0 338
33.5%
4.0 227
22.5%
2.0 202
20.0%
1.0 122
 
12.1%
5.0 117
 
11.6%
(Missing) 4
 
0.4%

Length

2024-03-31T21:53:59.217621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:53:59.587157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 338
33.6%
4.0 227
22.6%
2.0 202
20.1%
1.0 122
 
12.1%
5.0 117
 
11.6%

Most occurring characters

ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 338
 
11.2%
4 227
 
7.5%
2 202
 
6.7%
1 122
 
4.0%
5 117
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2012
66.7%
Other Punctuation 1006
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1006
50.0%
3 338
 
16.8%
4 227
 
11.3%
2 202
 
10.0%
1 122
 
6.1%
5 117
 
5.8%
Other Punctuation
ValueCountFrequency (%)
. 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 338
 
11.2%
4 227
 
7.5%
2 202
 
6.7%
1 122
 
4.0%
5 117
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 338
 
11.2%
4 227
 
7.5%
2 202
 
6.7%
1 122
 
4.0%
5 117
 
3.9%
Distinct5
Distinct (%)0.5%
Missing2
Missing (%)0.2%
Memory size59.3 KiB
4.0
329 
3.0
324 
5.0
192 
2.0
103 
1.0
60 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3024
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row4.0
3rd row3.0
4th row4.0
5th row3.0

Common Values

ValueCountFrequency (%)
4.0 329
32.6%
3.0 324
32.1%
5.0 192
19.0%
2.0 103
 
10.2%
1.0 60
 
5.9%
(Missing) 2
 
0.2%

Length

2024-03-31T21:53:59.959446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:00.228012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4.0 329
32.6%
3.0 324
32.1%
5.0 192
19.0%
2.0 103
 
10.2%
1.0 60
 
6.0%

Most occurring characters

ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
4 329
 
10.9%
3 324
 
10.7%
5 192
 
6.3%
2 103
 
3.4%
1 60
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
66.7%
Other Punctuation 1008
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1008
50.0%
4 329
 
16.3%
3 324
 
16.1%
5 192
 
9.5%
2 103
 
5.1%
1 60
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 1008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
4 329
 
10.9%
3 324
 
10.7%
5 192
 
6.3%
2 103
 
3.4%
1 60
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
4 329
 
10.9%
3 324
 
10.7%
5 192
 
6.3%
2 103
 
3.4%
1 60
 
2.0%

Public speaking
Categorical

Distinct5
Distinct (%)0.5%
Missing2
Missing (%)0.2%
Memory size59.3 KiB
5.0
296 
3.0
260 
4.0
236 
2.0
130 
1.0
86 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3024
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row4.0
3rd row2.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 296
29.3%
3.0 260
25.7%
4.0 236
23.4%
2.0 130
12.9%
1.0 86
 
8.5%
(Missing) 2
 
0.2%

Length

2024-03-31T21:54:00.703973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:01.115710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 296
29.4%
3.0 260
25.8%
4.0 236
23.4%
2.0 130
12.9%
1.0 86
 
8.5%

Most occurring characters

ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
5 296
 
9.8%
3 260
 
8.6%
4 236
 
7.8%
2 130
 
4.3%
1 86
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
66.7%
Other Punctuation 1008
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1008
50.0%
5 296
 
14.7%
3 260
 
12.9%
4 236
 
11.7%
2 130
 
6.4%
1 86
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 1008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
5 296
 
9.8%
3 260
 
8.6%
4 236
 
7.8%
2 130
 
4.3%
1 86
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
5 296
 
9.8%
3 260
 
8.6%
4 236
 
7.8%
2 130
 
4.3%
1 86
 
2.8%

Unpopularity
Categorical

Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
3.0
389 
4.0
252 
5.0
216 
2.0
81 
1.0
69 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row4.0
3rd row4.0
4th row3.0
5th row5.0

Common Values

ValueCountFrequency (%)
3.0 389
38.5%
4.0 252
25.0%
5.0 216
21.4%
2.0 81
 
8.0%
1.0 69
 
6.8%
(Missing) 3
 
0.3%

Length

2024-03-31T21:54:01.544270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:01.828623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 389
38.6%
4.0 252
25.0%
5.0 216
21.4%
2.0 81
 
8.0%
1.0 69
 
6.9%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 389
 
12.9%
4 252
 
8.3%
5 216
 
7.1%
2 81
 
2.7%
1 69
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
3 389
 
19.3%
4 252
 
12.5%
5 216
 
10.7%
2 81
 
4.0%
1 69
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 389
 
12.9%
4 252
 
8.3%
5 216
 
7.1%
2 81
 
2.7%
1 69
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 389
 
12.9%
4 252
 
8.3%
5 216
 
7.1%
2 81
 
2.7%
1 69
 
2.3%

Life struggles
Categorical

Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
3.0
221 
4.0
215 
2.0
199 
5.0
190 
1.0
182 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row4.0
4th row3.0
5th row2.0

Common Values

ValueCountFrequency (%)
3.0 221
21.9%
4.0 215
21.3%
2.0 199
19.7%
5.0 190
18.8%
1.0 182
18.0%
(Missing) 3
 
0.3%

Length

2024-03-31T21:54:02.152908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:02.443909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 221
21.9%
4.0 215
21.4%
2.0 199
19.8%
5.0 190
18.9%
1.0 182
18.1%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 221
 
7.3%
4 215
 
7.1%
2 199
 
6.6%
5 190
 
6.3%
1 182
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
3 221
 
11.0%
4 215
 
10.7%
2 199
 
9.9%
5 190
 
9.4%
1 182
 
9.0%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 221
 
7.3%
4 215
 
7.1%
2 199
 
6.6%
5 190
 
6.3%
1 182
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 221
 
7.3%
4 215
 
7.1%
2 199
 
6.6%
5 190
 
6.3%
1 182
 
6.0%
Distinct5
Distinct (%)0.5%
Missing4
Missing (%)0.4%
Memory size59.3 KiB
4.0
509 
3.0
284 
5.0
142 
2.0
59 
1.0
 
12

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3018
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row4.0
3rd row4.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
4.0 509
50.4%
3.0 284
28.1%
5.0 142
 
14.1%
2.0 59
 
5.8%
1.0 12
 
1.2%
(Missing) 4
 
0.4%

Length

2024-03-31T21:54:02.747167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:03.055406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4.0 509
50.6%
3.0 284
28.2%
5.0 142
 
14.1%
2.0 59
 
5.9%
1.0 12
 
1.2%

Most occurring characters

ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
4 509
16.9%
3 284
 
9.4%
5 142
 
4.7%
2 59
 
2.0%
1 12
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2012
66.7%
Other Punctuation 1006
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1006
50.0%
4 509
25.3%
3 284
 
14.1%
5 142
 
7.1%
2 59
 
2.9%
1 12
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
4 509
16.9%
3 284
 
9.4%
5 142
 
4.7%
2 59
 
2.0%
1 12
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
4 509
16.9%
3 284
 
9.4%
5 142
 
4.7%
2 59
 
2.0%
1 12
 
0.4%

Energy levels
Categorical

Distinct5
Distinct (%)0.5%
Missing5
Missing (%)0.5%
Memory size59.3 KiB
4.0
372 
3.0
308 
5.0
207 
2.0
87 
1.0
 
31

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3015
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row3.0
3rd row4.0
4th row2.0
5th row5.0

Common Values

ValueCountFrequency (%)
4.0 372
36.8%
3.0 308
30.5%
5.0 207
20.5%
2.0 87
 
8.6%
1.0 31
 
3.1%
(Missing) 5
 
0.5%

Length

2024-03-31T21:54:03.348387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:04.751277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4.0 372
37.0%
3.0 308
30.6%
5.0 207
20.6%
2.0 87
 
8.7%
1.0 31
 
3.1%

Most occurring characters

ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
4 372
 
12.3%
3 308
 
10.2%
5 207
 
6.9%
2 87
 
2.9%
1 31
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2010
66.7%
Other Punctuation 1005
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1005
50.0%
4 372
 
18.5%
3 308
 
15.3%
5 207
 
10.3%
2 87
 
4.3%
1 31
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 1005
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3015
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
4 372
 
12.3%
3 308
 
10.2%
5 207
 
6.9%
2 87
 
2.9%
1 31
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3015
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
4 372
 
12.3%
3 308
 
10.2%
5 207
 
6.9%
2 87
 
2.9%
1 31
 
1.0%

Small - big dogs
Categorical

Distinct5
Distinct (%)0.5%
Missing4
Missing (%)0.4%
Memory size59.3 KiB
3.0
385 
4.0
182 
1.0
163 
2.0
145 
5.0
131 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3018
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row5.0
3rd row3.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 385
38.1%
4.0 182
18.0%
1.0 163
16.1%
2.0 145
 
14.4%
5.0 131
 
13.0%
(Missing) 4
 
0.4%

Length

2024-03-31T21:54:05.515496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:06.306491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 385
38.3%
4.0 182
18.1%
1.0 163
16.2%
2.0 145
 
14.4%
5.0 131
 
13.0%

Most occurring characters

ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 385
 
12.8%
4 182
 
6.0%
1 163
 
5.4%
2 145
 
4.8%
5 131
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2012
66.7%
Other Punctuation 1006
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1006
50.0%
3 385
 
19.1%
4 182
 
9.0%
1 163
 
8.1%
2 145
 
7.2%
5 131
 
6.5%
Other Punctuation
ValueCountFrequency (%)
. 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 385
 
12.8%
4 182
 
6.0%
1 163
 
5.4%
2 145
 
4.8%
5 131
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 385
 
12.8%
4 182
 
6.0%
1 163
 
5.4%
2 145
 
4.8%
5 131
 
4.3%

Personality
Categorical

Distinct5
Distinct (%)0.5%
Missing4
Missing (%)0.4%
Memory size59.3 KiB
3.0
627 
4.0
295 
2.0
 
43
5.0
 
31
1.0
 
10

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3018
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row3.0
3rd row3.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 627
62.1%
4.0 295
29.2%
2.0 43
 
4.3%
5.0 31
 
3.1%
1.0 10
 
1.0%
(Missing) 4
 
0.4%

Length

2024-03-31T21:54:07.290259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:08.100238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 627
62.3%
4.0 295
29.3%
2.0 43
 
4.3%
5.0 31
 
3.1%
1.0 10
 
1.0%

Most occurring characters

ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 627
20.8%
4 295
 
9.8%
2 43
 
1.4%
5 31
 
1.0%
1 10
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2012
66.7%
Other Punctuation 1006
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1006
50.0%
3 627
31.2%
4 295
 
14.7%
2 43
 
2.1%
5 31
 
1.5%
1 10
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 627
20.8%
4 295
 
9.8%
2 43
 
1.4%
5 31
 
1.0%
1 10
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 627
20.8%
4 295
 
9.8%
2 43
 
1.4%
5 31
 
1.0%
1 10
 
0.3%
Distinct5
Distinct (%)0.5%
Missing4
Missing (%)0.4%
Memory size59.3 KiB
3.0
350 
1.0
184 
2.0
177 
4.0
174 
5.0
121 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3018
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row4.0
3rd row3.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
3.0 350
34.7%
1.0 184
18.2%
2.0 177
17.5%
4.0 174
17.2%
5.0 121
 
12.0%
(Missing) 4
 
0.4%

Length

2024-03-31T21:54:09.015720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:09.767552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 350
34.8%
1.0 184
18.3%
2.0 177
17.6%
4.0 174
17.3%
5.0 121
 
12.0%

Most occurring characters

ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 350
 
11.6%
1 184
 
6.1%
2 177
 
5.9%
4 174
 
5.8%
5 121
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2012
66.7%
Other Punctuation 1006
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1006
50.0%
3 350
 
17.4%
1 184
 
9.1%
2 177
 
8.8%
4 174
 
8.6%
5 121
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 350
 
11.6%
1 184
 
6.1%
2 177
 
5.9%
4 174
 
5.8%
5 121
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 350
 
11.6%
1 184
 
6.1%
2 177
 
5.9%
4 174
 
5.8%
5 121
 
4.0%

Getting up
Categorical

Distinct5
Distinct (%)0.5%
Missing5
Missing (%)0.5%
Memory size59.3 KiB
5.0
342 
4.0
225 
3.0
208 
2.0
146 
1.0
84 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3015
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row5.0
3rd row4.0
4th row1.0
5th row4.0

Common Values

ValueCountFrequency (%)
5.0 342
33.9%
4.0 225
22.3%
3.0 208
20.6%
2.0 146
14.5%
1.0 84
 
8.3%
(Missing) 5
 
0.5%

Length

2024-03-31T21:54:10.675794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:11.362804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 342
34.0%
4.0 225
22.4%
3.0 208
20.7%
2.0 146
14.5%
1.0 84
 
8.4%

Most occurring characters

ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
5 342
 
11.3%
4 225
 
7.5%
3 208
 
6.9%
2 146
 
4.8%
1 84
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2010
66.7%
Other Punctuation 1005
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1005
50.0%
5 342
 
17.0%
4 225
 
11.2%
3 208
 
10.3%
2 146
 
7.3%
1 84
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 1005
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3015
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
5 342
 
11.3%
4 225
 
7.5%
3 208
 
6.9%
2 146
 
4.8%
1 84
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3015
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1005
33.3%
0 1005
33.3%
5 342
 
11.3%
4 225
 
7.5%
3 208
 
6.9%
2 146
 
4.8%
1 84
 
2.8%
Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
3.0
315 
5.0
275 
4.0
239 
2.0
122 
1.0
56 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row3.0
3rd row5.0
4th row3.0
5th row5.0

Common Values

ValueCountFrequency (%)
3.0 315
31.2%
5.0 275
27.2%
4.0 239
23.7%
2.0 122
 
12.1%
1.0 56
 
5.5%
(Missing) 3
 
0.3%

Length

2024-03-31T21:54:12.157538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:12.750081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 315
31.3%
5.0 275
27.3%
4.0 239
23.7%
2.0 122
 
12.1%
1.0 56
 
5.6%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 315
 
10.4%
5 275
 
9.1%
4 239
 
7.9%
2 122
 
4.0%
1 56
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
3 315
 
15.6%
5 275
 
13.7%
4 239
 
11.9%
2 122
 
6.1%
1 56
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 315
 
10.4%
5 275
 
9.1%
4 239
 
7.9%
2 122
 
4.0%
1 56
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 315
 
10.4%
5 275
 
9.1%
4 239
 
7.9%
2 122
 
4.0%
1 56
 
1.9%

Parents' advice
Categorical

Distinct5
Distinct (%)0.5%
Missing2
Missing (%)0.2%
Memory size59.3 KiB
3.0
455 
4.0
344 
2.0
118 
5.0
56 
1.0
 
35

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3024
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row2.0
3rd row3.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 455
45.0%
4.0 344
34.1%
2.0 118
 
11.7%
5.0 56
 
5.5%
1.0 35
 
3.5%
(Missing) 2
 
0.2%

Length

2024-03-31T21:54:13.655424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:14.236840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 455
45.1%
4.0 344
34.1%
2.0 118
 
11.7%
5.0 56
 
5.6%
1.0 35
 
3.5%

Most occurring characters

ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 455
15.0%
4 344
 
11.4%
2 118
 
3.9%
5 56
 
1.9%
1 35
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
66.7%
Other Punctuation 1008
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1008
50.0%
3 455
22.6%
4 344
 
17.1%
2 118
 
5.9%
5 56
 
2.8%
1 35
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 1008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 455
15.0%
4 344
 
11.4%
2 118
 
3.9%
5 56
 
1.9%
1 35
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 455
15.0%
4 344
 
11.4%
2 118
 
3.9%
5 56
 
1.9%
1 35
 
1.2%
Distinct5
Distinct (%)0.5%
Missing4
Missing (%)0.4%
Memory size59.3 KiB
3.0
398 
2.0
241 
1.0
151 
4.0
142 
5.0
74 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3018
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row3.0
3rd row1.0
4th row4.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 398
39.4%
2.0 241
23.9%
1.0 151
 
15.0%
4.0 142
 
14.1%
5.0 74
 
7.3%
(Missing) 4
 
0.4%

Length

2024-03-31T21:54:15.238117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:15.904330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 398
39.6%
2.0 241
24.0%
1.0 151
 
15.0%
4.0 142
 
14.1%
5.0 74
 
7.4%

Most occurring characters

ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 398
 
13.2%
2 241
 
8.0%
1 151
 
5.0%
4 142
 
4.7%
5 74
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2012
66.7%
Other Punctuation 1006
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1006
50.0%
3 398
 
19.8%
2 241
 
12.0%
1 151
 
7.5%
4 142
 
7.1%
5 74
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3018
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 398
 
13.2%
2 241
 
8.0%
1 151
 
5.0%
4 142
 
4.7%
5 74
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3018
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1006
33.3%
0 1006
33.3%
3 398
 
13.2%
2 241
 
8.0%
1 151
 
5.0%
4 142
 
4.7%
5 74
 
2.5%

Internet usage
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size72.2 KiB
few hours a day
744 
less than an hour a day
139 
most of the day
124 
no time at all
 
3

Length

Max length23
Median length15
Mean length16.09802
Min length14

Characters and Unicode

Total characters16259
Distinct characters17
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowfew hours a day
2nd rowfew hours a day
3rd rowfew hours a day
4th rowmost of the day
5th rowfew hours a day

Common Values

ValueCountFrequency (%)
few hours a day 744
73.7%
less than an hour a day 139
 
13.8%
most of the day 124
 
12.3%
no time at all 3
 
0.3%

Length

2024-03-31T21:54:16.686908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:17.240658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
day 1007
23.3%
a 883
20.4%
few 744
17.2%
hours 744
17.2%
less 139
 
3.2%
than 139
 
3.2%
an 139
 
3.2%
hour 139
 
3.2%
most 124
 
2.9%
of 124
 
2.9%
Other values (5) 136
 
3.1%

Most occurring characters

ValueCountFrequency (%)
3308
20.3%
a 2174
13.4%
s 1146
 
7.0%
h 1146
 
7.0%
o 1134
 
7.0%
e 1010
 
6.2%
d 1007
 
6.2%
y 1007
 
6.2%
u 883
 
5.4%
r 883
 
5.4%
Other values (7) 2561
15.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12951
79.7%
Space Separator 3308
 
20.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2174
16.8%
s 1146
8.8%
h 1146
8.8%
o 1134
8.8%
e 1010
7.8%
d 1007
7.8%
y 1007
7.8%
u 883
6.8%
r 883
6.8%
f 868
 
6.7%
Other values (6) 1693
13.1%
Space Separator
ValueCountFrequency (%)
3308
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12951
79.7%
Common 3308
 
20.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2174
16.8%
s 1146
8.8%
h 1146
8.8%
o 1134
8.8%
e 1010
7.8%
d 1007
7.8%
y 1007
7.8%
u 883
6.8%
r 883
6.8%
f 868
 
6.7%
Other values (6) 1693
13.1%
Common
ValueCountFrequency (%)
3308
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16259
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3308
20.3%
a 2174
13.4%
s 1146
 
7.0%
h 1146
 
7.0%
o 1134
 
7.0%
e 1010
 
6.2%
d 1007
 
6.2%
y 1007
 
6.2%
u 883
 
5.4%
r 883
 
5.4%
Other values (7) 2561
15.8%

Finances
Categorical

Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
3.0
358 
4.0
252 
2.0
174 
1.0
125 
5.0
98 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row3.0
3rd row2.0
4th row2.0
5th row4.0

Common Values

ValueCountFrequency (%)
3.0 358
35.4%
4.0 252
25.0%
2.0 174
17.2%
1.0 125
 
12.4%
5.0 98
 
9.7%
(Missing) 3
 
0.3%

Length

2024-03-31T21:54:18.144602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:19.025059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 358
35.6%
4.0 252
25.0%
2.0 174
17.3%
1.0 125
 
12.4%
5.0 98
 
9.7%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 358
 
11.9%
4 252
 
8.3%
2 174
 
5.8%
1 125
 
4.1%
5 98
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
3 358
 
17.8%
4 252
 
12.5%
2 174
 
8.6%
1 125
 
6.2%
5 98
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 358
 
11.9%
4 252
 
8.3%
2 174
 
5.8%
1 125
 
4.1%
5 98
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 358
 
11.9%
4 252
 
8.3%
2 174
 
5.8%
1 125
 
4.1%
5 98
 
3.2%

Shopping centres
Categorical

Distinct5
Distinct (%)0.5%
Missing2
Missing (%)0.2%
Memory size59.3 KiB
3.0
243 
4.0
238 
5.0
219 
2.0
176 
1.0
132 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3024
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row4.0
3rd row4.0
4th row4.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 243
24.1%
4.0 238
23.6%
5.0 219
21.7%
2.0 176
17.4%
1.0 132
13.1%
(Missing) 2
 
0.2%

Length

2024-03-31T21:54:20.323917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:21.222941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 243
24.1%
4.0 238
23.6%
5.0 219
21.7%
2.0 176
17.5%
1.0 132
13.1%

Most occurring characters

ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 243
 
8.0%
4 238
 
7.9%
5 219
 
7.2%
2 176
 
5.8%
1 132
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
66.7%
Other Punctuation 1008
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1008
50.0%
3 243
 
12.1%
4 238
 
11.8%
5 219
 
10.9%
2 176
 
8.7%
1 132
 
6.5%
Other Punctuation
ValueCountFrequency (%)
. 1008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 243
 
8.0%
4 238
 
7.9%
5 219
 
7.2%
2 176
 
5.8%
1 132
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 243
 
8.0%
4 238
 
7.9%
5 219
 
7.2%
2 176
 
5.8%
1 132
 
4.4%

Branded clothing
Categorical

Distinct5
Distinct (%)0.5%
Missing2
Missing (%)0.2%
Memory size59.3 KiB
3.0
283 
4.0
240 
1.0
175 
5.0
157 
2.0
153 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3024
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row1.0
3rd row1.0
4th row3.0
5th row4.0

Common Values

ValueCountFrequency (%)
3.0 283
28.0%
4.0 240
23.8%
1.0 175
17.3%
5.0 157
15.5%
2.0 153
15.1%
(Missing) 2
 
0.2%

Length

2024-03-31T21:54:22.139940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:22.837444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 283
28.1%
4.0 240
23.8%
1.0 175
17.4%
5.0 157
15.6%
2.0 153
15.2%

Most occurring characters

ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 283
 
9.4%
4 240
 
7.9%
1 175
 
5.8%
5 157
 
5.2%
2 153
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
66.7%
Other Punctuation 1008
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1008
50.0%
3 283
 
14.0%
4 240
 
11.9%
1 175
 
8.7%
5 157
 
7.8%
2 153
 
7.6%
Other Punctuation
ValueCountFrequency (%)
. 1008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 283
 
9.4%
4 240
 
7.9%
1 175
 
5.8%
5 157
 
5.2%
2 153
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
3 283
 
9.4%
4 240
 
7.9%
1 175
 
5.8%
5 157
 
5.2%
2 153
 
5.1%
Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
3.0
312 
4.0
245 
2.0
194 
5.0
166 
1.0
90 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row4.0
3rd row4.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 312
30.9%
4.0 245
24.3%
2.0 194
19.2%
5.0 166
16.4%
1.0 90
 
8.9%
(Missing) 3
 
0.3%

Length

2024-03-31T21:54:23.785012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:24.465499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 312
31.0%
4.0 245
24.3%
2.0 194
19.3%
5.0 166
16.5%
1.0 90
 
8.9%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 312
 
10.3%
4 245
 
8.1%
2 194
 
6.4%
5 166
 
5.5%
1 90
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
3 312
 
15.5%
4 245
 
12.2%
2 194
 
9.6%
5 166
 
8.2%
1 90
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 312
 
10.3%
4 245
 
8.1%
2 194
 
6.4%
5 166
 
5.5%
1 90
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 312
 
10.3%
4 245
 
8.1%
2 194
 
6.4%
5 166
 
5.5%
1 90
 
3.0%
Distinct5
Distinct (%)0.5%
Missing3
Missing (%)0.3%
Memory size59.3 KiB
3.0
299 
4.0
247 
2.0
206 
5.0
144 
1.0
111 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3021
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row3.0
4th row4.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 299
29.6%
4.0 247
24.5%
2.0 206
20.4%
5.0 144
14.3%
1.0 111
 
11.0%
(Missing) 3
 
0.3%

Length

2024-03-31T21:54:25.355573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:26.119794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 299
29.7%
4.0 247
24.5%
2.0 206
20.5%
5.0 144
14.3%
1.0 111
 
11.0%

Most occurring characters

ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 299
 
9.9%
4 247
 
8.2%
2 206
 
6.8%
5 144
 
4.8%
1 111
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2014
66.7%
Other Punctuation 1007
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
50.0%
3 299
 
14.8%
4 247
 
12.3%
2 206
 
10.2%
5 144
 
7.1%
1 111
 
5.5%
Other Punctuation
ValueCountFrequency (%)
. 1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 299
 
9.9%
4 247
 
8.2%
2 206
 
6.8%
5 144
 
4.8%
1 111
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1007
33.3%
0 1007
33.3%
3 299
 
9.9%
4 247
 
8.2%
2 206
 
6.8%
5 144
 
4.8%
1 111
 
3.7%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size57.3 KiB
2
265 
3
257 
4
178 
1
166 
5
144 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1010
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row5
3rd row4
4th row4
5th row2

Common Values

ValueCountFrequency (%)
2 265
26.2%
3 257
25.4%
4 178
17.6%
1 166
16.4%
5 144
14.3%

Length

2024-03-31T21:54:27.065335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:27.653271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 265
26.2%
3 257
25.4%
4 178
17.6%
1 166
16.4%
5 144
14.3%

Most occurring characters

ValueCountFrequency (%)
2 265
26.2%
3 257
25.4%
4 178
17.6%
1 166
16.4%
5 144
14.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1010
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 265
26.2%
3 257
25.4%
4 178
17.6%
1 166
16.4%
5 144
14.3%

Most occurring scripts

ValueCountFrequency (%)
Common 1010
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 265
26.2%
3 257
25.4%
4 178
17.6%
1 166
16.4%
5 144
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1010
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 265
26.2%
3 257
25.4%
4 178
17.6%
1 166
16.4%
5 144
14.3%
Distinct5
Distinct (%)0.5%
Missing2
Missing (%)0.2%
Memory size59.3 KiB
4.0
330 
3.0
282 
5.0
223 
2.0
132 
1.0
41 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3024
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row2.0
4th row1.0
5th row4.0

Common Values

ValueCountFrequency (%)
4.0 330
32.7%
3.0 282
27.9%
5.0 223
22.1%
2.0 132
 
13.1%
1.0 41
 
4.1%
(Missing) 2
 
0.2%

Length

2024-03-31T21:54:28.436552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:29.166598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4.0 330
32.7%
3.0 282
28.0%
5.0 223
22.1%
2.0 132
 
13.1%
1.0 41
 
4.1%

Most occurring characters

ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
4 330
 
10.9%
3 282
 
9.3%
5 223
 
7.4%
2 132
 
4.4%
1 41
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
66.7%
Other Punctuation 1008
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1008
50.0%
4 330
 
16.4%
3 282
 
14.0%
5 223
 
11.1%
2 132
 
6.5%
1 41
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 1008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
4 330
 
10.9%
3 282
 
9.3%
5 223
 
7.4%
2 132
 
4.4%
1 41
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1008
33.3%
0 1008
33.3%
4 330
 
10.9%
3 282
 
9.3%
5 223
 
7.4%
2 132
 
4.4%
1 41
 
1.4%

Age
Real number (ℝ)

Distinct16
Distinct (%)1.6%
Missing7
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean20.433699
Minimum15
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2024-03-31T21:54:29.837008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile17
Q119
median20
Q322
95-th percentile27
Maximum30
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.8288401
Coefficient of variation (CV)0.13843994
Kurtosis1.5788735
Mean20.433699
Median Absolute Deviation (MAD)1
Skewness1.1487437
Sum20495
Variance8.0023363
MonotonicityNot monotonic
2024-03-31T21:54:30.384430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
19 210
20.8%
20 194
19.2%
21 127
12.6%
18 123
12.2%
22 84
 
8.3%
17 53
 
5.2%
23 47
 
4.7%
25 30
 
3.0%
16 29
 
2.9%
24 28
 
2.8%
Other values (6) 78
 
7.7%
ValueCountFrequency (%)
15 11
 
1.1%
16 29
 
2.9%
17 53
 
5.2%
18 123
12.2%
19 210
20.8%
20 194
19.2%
21 127
12.6%
22 84
 
8.3%
23 47
 
4.7%
24 28
 
2.8%
ValueCountFrequency (%)
30 10
 
1.0%
29 11
 
1.1%
28 17
 
1.7%
27 14
 
1.4%
26 15
 
1.5%
25 30
 
3.0%
24 28
 
2.8%
23 47
 
4.7%
22 84
8.3%
21 127
12.6%

Height
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)4.9%
Missing20
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean173.51414
Minimum62
Maximum203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2024-03-31T21:54:31.036757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62
5-th percentile160
Q1167
median173
Q3180
95-th percentile190
Maximum203
Range141
Interquartile range (IQR)13

Descriptive statistics

Standard deviation10.024505
Coefficient of variation (CV)0.057773418
Kurtosis14.556015
Mean173.51414
Median Absolute Deviation (MAD)7
Skewness-1.1524809
Sum171779
Variance100.4907
MonotonicityNot monotonic
2024-03-31T21:54:32.251647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
170 86
 
8.5%
168 62
 
6.1%
175 56
 
5.5%
180 55
 
5.4%
165 54
 
5.3%
178 43
 
4.3%
185 43
 
4.3%
173 41
 
4.1%
172 38
 
3.8%
163 34
 
3.4%
Other values (39) 478
47.3%
ValueCountFrequency (%)
62 1
 
0.1%
148 1
 
0.1%
152 1
 
0.1%
153 3
 
0.3%
154 3
 
0.3%
155 5
 
0.5%
156 5
 
0.5%
157 9
0.9%
158 15
1.5%
159 5
 
0.5%
ValueCountFrequency (%)
203 2
 
0.2%
200 3
 
0.3%
197 2
 
0.2%
195 4
 
0.4%
194 4
 
0.4%
193 8
0.8%
192 9
0.9%
191 2
 
0.2%
190 17
1.7%
189 15
1.5%

Weight
Real number (ℝ)

MISSING 

Distinct69
Distinct (%)7.0%
Missing20
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean66.405051
Minimum41
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2024-03-31T21:54:32.974127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41
5-th percentile49
Q155
median64
Q375
95-th percentile90
Maximum165
Range124
Interquartile range (IQR)20

Descriptive statistics

Standard deviation13.839561
Coefficient of variation (CV)0.20841127
Kurtosis3.9693225
Mean66.405051
Median Absolute Deviation (MAD)9
Skewness1.2237252
Sum65741
Variance191.53344
MonotonicityNot monotonic
2024-03-31T21:54:33.889331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 76
 
7.5%
55 62
 
6.1%
70 51
 
5.0%
80 50
 
5.0%
65 49
 
4.9%
75 41
 
4.1%
50 41
 
4.1%
58 31
 
3.1%
57 31
 
3.1%
53 28
 
2.8%
Other values (59) 530
52.5%
ValueCountFrequency (%)
41 1
 
0.1%
42 1
 
0.1%
43 2
 
0.2%
44 3
 
0.3%
45 5
 
0.5%
46 5
 
0.5%
47 8
 
0.8%
48 21
2.1%
49 13
 
1.3%
50 41
4.1%
ValueCountFrequency (%)
165 1
 
0.1%
150 1
 
0.1%
125 1
 
0.1%
120 3
0.3%
113 1
 
0.1%
111 1
 
0.1%
110 1
 
0.1%
105 1
 
0.1%
103 1
 
0.1%
101 1
 
0.1%

Number of siblings
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.8%
Missing6
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean1.2978088
Minimum0
Maximum10
Zeros163
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2024-03-31T21:54:34.473300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0133482
Coefficient of variation (CV)0.78081472
Kurtosis7.4353494
Mean1.2978088
Median Absolute Deviation (MAD)0
Skewness1.7686732
Sum1303
Variance1.0268746
MonotonicityNot monotonic
2024-03-31T21:54:35.081964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 535
53.0%
2 202
 
20.0%
0 163
 
16.1%
3 73
 
7.2%
4 18
 
1.8%
5 9
 
0.9%
6 3
 
0.3%
10 1
 
0.1%
(Missing) 6
 
0.6%
ValueCountFrequency (%)
0 163
 
16.1%
1 535
53.0%
2 202
 
20.0%
3 73
 
7.2%
4 18
 
1.8%
5 9
 
0.9%
6 3
 
0.3%
10 1
 
0.1%
ValueCountFrequency (%)
10 1
 
0.1%
6 3
 
0.3%
5 9
 
0.9%
4 18
 
1.8%
3 73
 
7.2%
2 202
 
20.0%
1 535
53.0%
0 163
 
16.1%

Gender
Categorical

Distinct2
Distinct (%)0.2%
Missing6
Missing (%)0.6%
Memory size61.5 KiB
female
593 
male
411 

Length

Max length6
Median length6
Mean length5.1812749
Min length4

Characters and Unicode

Total characters5202
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowfemale
2nd rowfemale
3rd rowfemale
4th rowfemale
5th rowfemale

Common Values

ValueCountFrequency (%)
female 593
58.7%
male 411
40.7%
(Missing) 6
 
0.6%

Length

2024-03-31T21:54:35.817375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:36.397938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
female 593
59.1%
male 411
40.9%

Most occurring characters

ValueCountFrequency (%)
e 1597
30.7%
m 1004
19.3%
a 1004
19.3%
l 1004
19.3%
f 593
 
11.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5202
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1597
30.7%
m 1004
19.3%
a 1004
19.3%
l 1004
19.3%
f 593
 
11.4%

Most occurring scripts

ValueCountFrequency (%)
Latin 5202
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1597
30.7%
m 1004
19.3%
a 1004
19.3%
l 1004
19.3%
f 593
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5202
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1597
30.7%
m 1004
19.3%
a 1004
19.3%
l 1004
19.3%
f 593
 
11.4%

Left - right handed
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing3
Missing (%)0.3%
Memory size68.1 KiB
right handed
906 
left handed
101 

Length

Max length12
Median length12
Mean length11.899702
Min length11

Characters and Unicode

Total characters11983
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowright handed
2nd rowright handed
3rd rowright handed
4th rowright handed
5th rowright handed

Common Values

ValueCountFrequency (%)
right handed 906
89.7%
left handed 101
 
10.0%
(Missing) 3
 
0.3%

Length

2024-03-31T21:54:37.041888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:37.722934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
handed 1007
50.0%
right 906
45.0%
left 101
 
5.0%

Most occurring characters

ValueCountFrequency (%)
d 2014
16.8%
h 1913
16.0%
e 1108
9.2%
t 1007
8.4%
1007
8.4%
a 1007
8.4%
n 1007
8.4%
r 906
7.6%
i 906
7.6%
g 906
7.6%
Other values (2) 202
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10976
91.6%
Space Separator 1007
 
8.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
d 2014
18.3%
h 1913
17.4%
e 1108
10.1%
t 1007
9.2%
a 1007
9.2%
n 1007
9.2%
r 906
8.3%
i 906
8.3%
g 906
8.3%
l 101
 
0.9%
Space Separator
ValueCountFrequency (%)
1007
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10976
91.6%
Common 1007
 
8.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
d 2014
18.3%
h 1913
17.4%
e 1108
10.1%
t 1007
9.2%
a 1007
9.2%
n 1007
9.2%
r 906
8.3%
i 906
8.3%
g 906
8.3%
l 101
 
0.9%
Common
ValueCountFrequency (%)
1007
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11983
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
d 2014
16.8%
h 1913
16.0%
e 1108
9.2%
t 1007
8.4%
1007
8.4%
a 1007
8.4%
n 1007
8.4%
r 906
7.6%
i 906
7.6%
g 906
7.6%
Other values (2) 202
 
1.7%

Education
Categorical

Distinct6
Distinct (%)0.6%
Missing1
Missing (%)0.1%
Memory size73.4 KiB
secondary school
621 
college/bachelor degree
212 
masters degree
81 
primary school
80 
currently a primary school pupil
 
10

Length

Max length32
Median length16
Mean length17.310208
Min length14

Characters and Unicode

Total characters17466
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowcollege/bachelor degree
2nd rowcollege/bachelor degree
3rd rowsecondary school
4th rowcollege/bachelor degree
5th rowsecondary school

Common Values

ValueCountFrequency (%)
secondary school 621
61.5%
college/bachelor degree 212
 
21.0%
masters degree 81
 
8.0%
primary school 80
 
7.9%
currently a primary school pupil 10
 
1.0%
doctorate degree 5
 
0.5%
(Missing) 1
 
0.1%

Length

2024-03-31T21:54:38.400031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:39.199803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
school 711
34.7%
secondary 621
30.3%
degree 298
14.6%
college/bachelor 212
 
10.4%
primary 90
 
4.4%
masters 81
 
4.0%
currently 10
 
0.5%
a 10
 
0.5%
pupil 10
 
0.5%
doctorate 5
 
0.2%

Most occurring characters

ValueCountFrequency (%)
o 2477
14.2%
e 2247
12.9%
c 1771
10.1%
s 1494
8.6%
r 1417
8.1%
l 1367
7.8%
1039
 
5.9%
a 1019
 
5.8%
d 924
 
5.3%
h 923
 
5.3%
Other values (10) 2788
16.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 16215
92.8%
Space Separator 1039
 
5.9%
Other Punctuation 212
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2477
15.3%
e 2247
13.9%
c 1771
10.9%
s 1494
9.2%
r 1417
8.7%
l 1367
8.4%
a 1019
6.3%
d 924
 
5.7%
h 923
 
5.7%
y 721
 
4.4%
Other values (8) 1855
11.4%
Space Separator
ValueCountFrequency (%)
1039
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 16215
92.8%
Common 1251
 
7.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 2477
15.3%
e 2247
13.9%
c 1771
10.9%
s 1494
9.2%
r 1417
8.7%
l 1367
8.4%
a 1019
6.3%
d 924
 
5.7%
h 923
 
5.7%
y 721
 
4.4%
Other values (8) 1855
11.4%
Common
ValueCountFrequency (%)
1039
83.1%
/ 212
 
16.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17466
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 2477
14.2%
e 2247
12.9%
c 1771
10.1%
s 1494
8.6%
r 1417
8.1%
l 1367
7.8%
1039
 
5.9%
a 1019
 
5.8%
d 924
 
5.3%
h 923
 
5.3%
Other values (10) 2788
16.0%

Only child
Boolean

Distinct2
Distinct (%)0.2%
Missing2
Missing (%)0.2%
Memory size2.1 KiB
False
754 
True
254 
(Missing)
 
2
ValueCountFrequency (%)
False 754
74.7%
True 254
 
25.1%
(Missing) 2
 
0.2%
2024-03-31T21:54:40.192633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Village - town
Categorical

Distinct2
Distinct (%)0.2%
Missing4
Missing (%)0.4%
Memory size61.2 KiB
city
707 
village
299 

Length

Max length7
Median length4
Mean length4.8916501
Min length4

Characters and Unicode

Total characters4921
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowvillage
2nd rowcity
3rd rowcity
4th rowcity
5th rowvillage

Common Values

ValueCountFrequency (%)
city 707
70.0%
village 299
29.6%
(Missing) 4
 
0.4%

Length

2024-03-31T21:54:40.916322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:41.624959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
city 707
70.3%
village 299
29.7%

Most occurring characters

ValueCountFrequency (%)
i 1006
20.4%
c 707
14.4%
t 707
14.4%
y 707
14.4%
l 598
12.2%
v 299
 
6.1%
a 299
 
6.1%
g 299
 
6.1%
e 299
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4921
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 1006
20.4%
c 707
14.4%
t 707
14.4%
y 707
14.4%
l 598
12.2%
v 299
 
6.1%
a 299
 
6.1%
g 299
 
6.1%
e 299
 
6.1%

Most occurring scripts

ValueCountFrequency (%)
Latin 4921
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 1006
20.4%
c 707
14.4%
t 707
14.4%
y 707
14.4%
l 598
12.2%
v 299
 
6.1%
a 299
 
6.1%
g 299
 
6.1%
e 299
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4921
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 1006
20.4%
c 707
14.4%
t 707
14.4%
y 707
14.4%
l 598
12.2%
v 299
 
6.1%
a 299
 
6.1%
g 299
 
6.1%
e 299
 
6.1%
Distinct2
Distinct (%)0.2%
Missing4
Missing (%)0.4%
Memory size70.1 KiB
block of flats
595 
house/bungalow
411 

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters14084
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowblock of flats
2nd rowblock of flats
3rd rowblock of flats
4th rowhouse/bungalow
5th rowhouse/bungalow

Common Values

ValueCountFrequency (%)
block of flats 595
58.9%
house/bungalow 411
40.7%
(Missing) 4
 
0.4%

Length

2024-03-31T21:54:42.229040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-31T21:54:42.799621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
block 595
27.1%
of 595
27.1%
flats 595
27.1%
house/bungalow 411
18.7%

Most occurring characters

ValueCountFrequency (%)
o 2012
14.3%
l 1601
11.4%
1190
 
8.4%
f 1190
 
8.4%
b 1006
 
7.1%
s 1006
 
7.1%
a 1006
 
7.1%
u 822
 
5.8%
t 595
 
4.2%
k 595
 
4.2%
Other values (7) 3061
21.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12483
88.6%
Space Separator 1190
 
8.4%
Other Punctuation 411
 
2.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2012
16.1%
l 1601
12.8%
f 1190
9.5%
b 1006
8.1%
s 1006
8.1%
a 1006
8.1%
u 822
 
6.6%
t 595
 
4.8%
k 595
 
4.8%
c 595
 
4.8%
Other values (5) 2055
16.5%
Space Separator
ValueCountFrequency (%)
1190
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 411
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12483
88.6%
Common 1601
 
11.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 2012
16.1%
l 1601
12.8%
f 1190
9.5%
b 1006
8.1%
s 1006
8.1%
a 1006
8.1%
u 822
 
6.6%
t 595
 
4.8%
k 595
 
4.8%
c 595
 
4.8%
Other values (5) 2055
16.5%
Common
ValueCountFrequency (%)
1190
74.3%
/ 411
 
25.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14084
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 2012
14.3%
l 1601
11.4%
1190
 
8.4%
f 1190
 
8.4%
b 1006
 
7.1%
s 1006
 
7.1%
a 1006
 
7.1%
u 822
 
5.8%
t 595
 
4.2%
k 595
 
4.2%
Other values (7) 3061
21.7%

Interactions

2024-03-31T21:52:14.947801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-31T21:52:08.590494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-31T21:52:10.221115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-31T21:52:11.920698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-31T21:52:13.434264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-31T21:52:15.473127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-31T21:52:08.965094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-31T21:52:10.575788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-31T21:52:12.204208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-31T21:52:13.706278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-31T21:52:15.748977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-31T21:52:09.253552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-31T21:52:10.904356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-31T21:52:12.505392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-31T21:52:14.002830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-31T21:52:16.120081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-31T21:52:09.587690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-31T21:52:11.210901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-31T21:52:12.834144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-31T21:52:14.289307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-31T21:52:16.424377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-31T21:52:09.891022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-31T21:52:11.621865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-31T21:52:13.127390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-31T21:52:14.574427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-31T21:52:17.752608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-31T21:52:19.881207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-03-31T21:52:27.699362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Participant NumberMusicSlow songs or fast songsDanceFolkCountryClassical musicMusicalPopRockMetal or HardrockPunkHiphop, RapReggae, SkaSwing, JazzRock n rollAlternativeLatinoTechno, TranceOperaMoviesHorrorThrillerComedyRomanticSci-fiWarFantasy/Fairy talesAnimatedDocumentaryWesternActionHistoryPsychologyPoliticsMathematicsPhysicsInternetPCEconomy ManagementBiologyChemistryReadingGeographyForeign languagesMedicineLawCarsArt exhibitionsReligionCountryside, outdoorsDancingMusical instrumentsWritingPassive sportActive sportGardeningCelebritiesShoppingScience and technologyTheatreFun with friendsAdrenaline sportsPetsFlyingStormDarknessHeightsSpidersSnakesRatsAgeingDangerous dogsFear of public speakingSmokingAlcoholHealthy eatingDaily eventsPrioritising workloadWriting notesWorkaholismThinking aheadFinal judgementReliabilityKeeping promisesLoss of interestFriends versus moneyFunninessFakeCriminal damageDecision makingElectionsSelf-criticismJudgment callsHypochondriaEmpathyEating to surviveGivingCompassion to animalsBorrowed stuffLonelinessCheating in schoolHealthChanging the pastGodDreamsCharityNumber of friendsPunctualityLyingWaitingNew environmentMood swingsAppearence and gesturesSocializingAchievementsResponding to a serious letterChildrenAssertivenessGetting angryKnowing the right peoplePublic speakingUnpopularityLife strugglesHappiness in lifeEnergy levelsSmall - big dogsPersonalityFinding lost valuablesGetting upInterests or hobbiesParents' adviceQuestionnaires or pollsInternet usageFinancesShopping centresBranded clothingEntertainment spendingSpending on looksSpending on gadgetsSpending on healthy eatingAgeHeightWeightNumber of siblingsGenderLeft - right handedEducationOnly childVillage - townHouse - block of flats
015.03.02.01.02.02.01.05.05.01.01.01.01.01.03.01.01.01.01.05.04.02.05.04.04.01.05.05.03.01.02.01.05.01.03.03.05.03.05.03.03.03.03.05.03.01.01.01.01.05.03.03.02.01.05.05.01.04.04.02.05.04.04.01.01.01.01.01.053.01.03.02.0never smokeddrink a lot4.02.02.05.04.02.05.04.04.01.03.05.01.01.03.04.01.03.01.03.014.05.04.03.02.01.01.01.042.03i am always on timenever3.04.03.04.03.04.03.05.01.01.03.05.05.01.04.05.01.04.03.02.03.04.03.0few hours a day3.04.05.03.03.013.020.0163.048.01.0femaleright handedcollege/bachelor degreenovillageblock of flats
124.04.02.01.01.01.02.03.05.04.04.01.03.01.04.04.02.01.01.05.02.02.04.03.04.01.03.05.04.01.04.01.03.04.05.02.04.04.05.01.01.04.04.05.01.02.02.02.01.01.01.01.01.01.01.01.02.03.03.02.04.02.05.01.01.01.02.01.011.03.01.04.0never smokeddrink a lot3.03.02.04.05.04.01.04.04.03.04.03.02.01.02.05.04.04.01.02.012.04.03.02.04.04.04.01.031.03i am often earlysometimes3.04.04.04.04.02.04.02.02.05.04.04.04.01.04.03.05.03.04.05.03.02.03.0few hours a day3.04.01.04.02.052.019.0163.058.02.0femaleright handedcollege/bachelor degreenocityblock of flats
235.05.02.02.03.04.05.03.05.03.04.01.04.03.05.05.05.01.03.05.03.04.04.02.04.02.05.05.02.02.01.01.02.01.05.02.04.02.04.01.01.05.02.05.02.03.01.05.05.05.05.05.05.05.02.01.01.04.02.05.05.05.05.01.01.01.01.01.011.01.01.02.0tried smokingdrink a lot3.01.02.05.03.05.03.04.05.01.05.02.04.01.03.05.04.04.01.05.055.04.02.05.03.02.05.05.013.03i am often running latesometimes2.03.04.03.05.03.04.04.03.04.03.02.04.04.04.04.03.03.03.04.05.03.01.0few hours a day2.04.01.04.03.042.020.0176.067.02.0femaleright handedsecondary schoolnocityblock of flats
345.03.02.01.01.01.01.02.02.01.04.02.02.01.02.05.01.02.01.05.04.04.03.03.04.03.01.02.05.01.02.04.04.05.04.01.03.01.02.03.03.05.04.04.02.05.01.05.04.01.01.01.03.01.01.01.02.04.03.01.02.01.01.02.01.01.03.05.055.04.05.05.0former smokerdrink a lot3.04.04.04.05.03.01.03.04.05.02.01.01.05.05.05.05.04.03.03.011.02.05.05.05.01.05.04.033.01i am often earlyonly to avoid hurting someone1.01.05.03.01.03.03.02.05.05.04.05.03.03.02.02.01.02.01.01.0NaN2.04.0most of the day2.04.03.03.04.041.022.0172.059.01.0femaleright handedcollege/bachelor degreeyescityhouse/bungalow
455.03.04.03.02.04.03.05.03.01.02.05.03.02.01.02.04.02.02.05.04.04.05.02.03.03.04.04.03.01.04.03.02.03.02.02.02.02.02.03.03.05.02.03.03.02.03.01.04.04.01.03.01.03.01.04.03.03.03.02.04.02.01.01.02.01.01.01.012.02.04.03.0tried smokingsocial drinker4.03.01.02.03.05.05.05.04.02.03.03.02.01.03.05.05.05.01.03.013.03.04.03.05.03.04.05.033.03i am always on timeeverytime it suits me3.04.02.03.03.03.03.05.04.02.03.05.05.02.03.05.03.03.02.04.03.03.03.0few hours a day4.03.04.03.03.024.020.0170.059.01.0femaleright handedsecondary schoolnovillagehouse/bungalow
565.03.02.03.02.03.03.02.05.05.03.04.03.04.04.05.03.01.03.05.05.05.05.02.03.03.04.03.03.02.04.05.03.04.02.03.04.04.01.04.04.03.03.04.04.03.05.02.02.05.01.05.01.05.04.02.01.02.03.01.03.03.02.03.02.02.02.01.022.01.01.03.0never smokednever2.02.02.03.03.03.01.03.04.03.02.03.01.04.02.05.04.04.01.04.023.05.05.02.04.03.03.03.032.03i am often earlyonly to avoid hurting someone3.04.03.03.04.02.02.03.04.03.04.04.04.03.03.04.04.03.03.03.05.03.04.0few hours a day2.03.03.03.01.044.020.0186.077.01.0maleright handedsecondary schoolnocityblock of flats
675.05.05.03.01.02.02.05.03.01.01.03.01.01.02.03.03.05.02.04.02.01.05.03.01.03.05.05.03.01.02.03.03.01.01.01.02.01.03.05.05.03.03.04.05.03.04.01.01.04.03.02.01.05.03.03.01.03.04.03.05.01.05.01.03.02.01.01.051.04.01.01.0tried smokingsocial drinker4.03.05.05.05.03.03.04.05.03.04.04.01.02.02.05.03.05.01.04.015.05.05.03.02.03.01.05.033.03i am often earlynever4.05.05.04.05.04.03.02.03.03.04.03.03.05.05.04.03.03.02.02.04.04.05.0less than an hour a day4.03.01.03.04.015.020.0177.050.01.0femaleright handedsecondary schoolnovillagehouse/bungalow
785.03.03.02.01.02.02.04.05.01.02.03.02.02.03.01.02.03.02.05.04.04.05.02.03.03.04.04.03.01.03.05.02.03.01.01.05.04.01.02.02.02.03.04.01.02.01.01.02.02.01.01.01.04.05.01.03.03.02.02.04.02.05.03.02.04.03.01.053.01.02.04.0current smokerdrink a lot2.03.01.03.02.04.03.03.03.01.04.04.02.01.03.05.03.05.02.01.023.05.02.02.05.03.02.04.041.04i am always on timesometimes1.04.03.04.02.04.03.04.03.01.04.05.02.02.04.04.03.04.02.05.04.03.03.0few hours a day3.04.04.04.04.032.019.0184.090.01.0maleright handedcollege/bachelor degreenocityhouse/bungalow
895.03.03.01.01.02.04.03.05.05.01.01.02.02.02.0NaN1.01.01.05.01.05.05.04.04.05.04.04.05.01.01.03.02.01.01.01.01.01.01.03.01.05.01.01.01.01.01.01.02.04.01.02.01.04.01.01.05.02.01.05.04.01.01.02.03.01.05.05.052.02.03.04.0tried smokingsocial drinker1.01.02.01.04.02.05.05.04.01.04.02.02.01.04.01.03.02.02.05.011.04.05.04.05.04.05.05.041.02i am often earlysometimes2.02.03.04.04.02.02.04.01.03.03.04.05.04.03.01.05.03.05.05.01.04.03.0few hours a day2.01.03.02.01.034.018.0166.055.01.0femaleright handedsecondary schoolnocityhouse/bungalow
9105.03.02.05.02.02.05.03.05.02.03.02.04.04.04.04.05.01.02.05.02.01.05.05.01.03.04.04.04.01.02.03.02.03.03.01.05.01.04.02.01.04.04.05.01.01.01.04.04.04.05.03.01.04.04.01.02.04.03.05.05.02.02.04.05.04.05.03.044.03.05.03.0never smokeddrink a lot3.04.02.02.03.03.05.04.05.03.04.03.01.02.05.05.04.05.01.04.014.05.04.02.03.04.02.05.032.03i am often running latesometimes1.04.04.03.04.04.04.03.04.03.04.05.03.05.04.04.01.03.03.04.03.03.03.0few hours a day4.04.04.02.03.024.019.0174.060.03.0femaleright handedsecondary schoolnocityblock of flats
Participant NumberMusicSlow songs or fast songsDanceFolkCountryClassical musicMusicalPopRockMetal or HardrockPunkHiphop, RapReggae, SkaSwing, JazzRock n rollAlternativeLatinoTechno, TranceOperaMoviesHorrorThrillerComedyRomanticSci-fiWarFantasy/Fairy talesAnimatedDocumentaryWesternActionHistoryPsychologyPoliticsMathematicsPhysicsInternetPCEconomy ManagementBiologyChemistryReadingGeographyForeign languagesMedicineLawCarsArt exhibitionsReligionCountryside, outdoorsDancingMusical instrumentsWritingPassive sportActive sportGardeningCelebritiesShoppingScience and technologyTheatreFun with friendsAdrenaline sportsPetsFlyingStormDarknessHeightsSpidersSnakesRatsAgeingDangerous dogsFear of public speakingSmokingAlcoholHealthy eatingDaily eventsPrioritising workloadWriting notesWorkaholismThinking aheadFinal judgementReliabilityKeeping promisesLoss of interestFriends versus moneyFunninessFakeCriminal damageDecision makingElectionsSelf-criticismJudgment callsHypochondriaEmpathyEating to surviveGivingCompassion to animalsBorrowed stuffLonelinessCheating in schoolHealthChanging the pastGodDreamsCharityNumber of friendsPunctualityLyingWaitingNew environmentMood swingsAppearence and gesturesSocializingAchievementsResponding to a serious letterChildrenAssertivenessGetting angryKnowing the right peoplePublic speakingUnpopularityLife strugglesHappiness in lifeEnergy levelsSmall - big dogsPersonalityFinding lost valuablesGetting upInterests or hobbiesParents' adviceQuestionnaires or pollsInternet usageFinancesShopping centresBranded clothingEntertainment spendingSpending on looksSpending on gadgetsSpending on healthy eatingAgeHeightWeightNumber of siblingsGenderLeft - right handedEducationOnly childVillage - townHouse - block of flats
100010015.03.03.03.02.03.03.04.03.01.01.05.03.02.03.03.03.03.01.05.05.05.05.05.02.05.05.05.03.02.02.03.03.02.01.01.03.01.02.05.05.02.03.02.03.02.01.01.01.04.05.02.01.05.05.02.03.05.03.04.05.04.05.01.01.01.01.01.011.05.03.02.0never smokednever5.01.03.03.01.03.05.03.03.05.01.03.02.03.03.01.02.03.01.03.022.05.04.03.05.04.05.03.042.02i am always on timesometimes3.04.03.05.05.05.04.03.03.03.04.04.03.04.04.04.04.04.01.05.04.02.02.0few hours a day1.05.04.03.05.045.016.0153.062.01.0femaleright handedprimary schoolnocityblock of flats
100110025.05.05.01.02.01.04.04.03.02.04.04.03.01.04.01.02.03.01.03.04.03.05.04.01.01.03.03.02.02.03.03.02.03.01.01.05.03.04.02.01.03.02.01.01.03.02.02.01.02.03.01.01.02.04.01.03.05.02.04.05.02.04.05.01.01.05.01.011.04.02.02.0former smokernever4.02.04.02.03.02.05.04.04.01.05.03.02.01.03.02.05.04.03.04.025.05.04.02.05.04.01.01.031.04i am always on timesometimes3.04.03.04.04.02.02.04.04.02.05.04.04.05.03.04.01.04.01.05.05.02.01.0few hours a day2.05.04.03.05.024.018.0160.063.02.0femaleright handedprimary schoolnocityblock of flats
100210035.05.03.01.03.01.01.02.05.05.03.01.04.02.02.04.01.03.01.03.05.04.03.01.02.02.02.02.02.02.03.02.02.01.01.03.05.05.02.01.01.01.02.03.01.01.02.01.01.01.01.05.04.02.01.01.01.01.03.01.05.03.02.01.01.01.01.01.011.01.01.04.0current smokersocial drinker2.01.02.03.01.02.01.03.03.04.03.02.04.05.03.01.02.04.01.02.043.04.03.03.05.02.02.01.021.04i am often running lateeverytime it suits me3.03.04.02.03.01.04.02.03.05.02.03.02.01.04.02.03.04.0NaN1.03.02.01.0few hours a day4.01.01.04.01.033.022.0181.072.01.0maleright handedsecondary schoolnocityblock of flats
100310044.03.04.03.02.02.03.04.05.02.03.02.04.04.04.02.04.04.02.05.04.04.05.04.04.03.03.03.04.02.04.03.04.03.01.01.03.01.04.03.02.04.02.04.02.02.01.01.03.04.03.02.01.04.03.02.01.03.02.03.04.02.05.04.01.01.04.04.054.01.03.02.0former smokersocial drinker3.04.03.04.03.04.03.03.05.01.05.03.02.02.03.05.03.03.02.04.034.03.05.03.05.03.02.04.043.03i am always on timesometimes3.02.03.03.02.03.01.03.04.03.02.03.03.03.03.03.03.03.05.02.02.04.02.0few hours a day3.02.03.03.03.044.020.0172.063.01.0femaleright handedsecondary schoolnocityhouse/bungalow
100410055.03.04.01.02.03.02.03.03.04.03.05.04.02.03.02.02.05.03.05.04.04.05.03.04.04.04.05.03.03.03.03.04.01.02.02.05.05.03.03.02.02.03.04.03.02.02.03.01.03.03.04.01.05.02.02.01.02.02.02.05.04.04.01.01.02.03.03.022.03.02.03.0former smokersocial drinker3.02.02.04.01.04.03.04.04.02.05.04.01.04.03.01.03.05.04.04.033.04.04.03.04.03.03.03.042.05i am often running latesometimes3.05.03.04.02.03.02.04.03.03.05.04.02.02.03.03.02.03.02.05.05.02.04.0few hours a day4.03.03.04.04.042.022.0175.060.01.0maleright handedsecondary schoolnocityblock of flats
100510065.02.05.02.02.05.04.04.04.03.02.04.01.05.04.04.03.03.02.05.02.03.04.05.04.02.05.05.02.01.04.04.04.02.01.02.04.03.01.02.01.05.04.05.02.01.01.05.01.02.02.03.04.04.04.02.04.05.03.05.05.04.04.01.02.04.05.02.022.03.03.04.0current smokerdrink a lot3.03.02.01.04.02.03.03.03.04.04.04.03.02.01.05.02.04.01.03.013.05.03.04.05.04.01.03.032.03i am often running lateeverytime it suits me2.04.03.04.04.03.04.03.02.02.04.05.04.04.04.03.03.03.04.05.04.04.03.0few hours a day3.05.04.03.04.034.020.0164.057.01.0femaleright handedsecondary schoolnocityhouse/bungalow
100610074.04.05.01.03.04.01.04.01.01.04.01.01.02.03.01.03.04.01.05.02.05.05.01.05.05.01.05.05.02.05.04.01.01.05.04.05.05.02.02.01.01.02.02.01.01.05.01.05.05.05.05.0NaN1.05.05.01.02.05.01.05.01.05.01.01.01.01.01.011.02.05.05.0never smokedsocial drinker3.01.03.01.05.05.05.05.04.01.02.01.01.03.05.05.05.05.01.02.014.03.04.01.01.03.04.05.033.03i am often earlysometimes5.05.01.03.03.03.05.05.04.01.02.05.01.01.04.04.03.05.03.01.03.04.03.0less than an hour a day3.01.01.01.01.053.027.0183.080.05.0maleleft handedmasters degreenovillagehouse/bungalow
100710084.03.01.01.02.02.02.03.04.01.02.03.03.02.02.05.01.01.01.04.05.05.03.05.02.01.04.04.03.01.03.02.03.03.03.01.03.04.01.01.01.04.01.05.01.01.01.01.01.01.01.02.01.02.02.01.01.02.03.02.03.01.05.02.01.03.02.02.021.01.01.05.0tried smokingsocial drinker2.03.01.01.01.04.01.03.05.01.04.01.01.05.04.05.05.02.01.05.011.05.04.04.05.03.05.01.031.01i am often running lateonly to avoid hurting someone3.01.02.04.01.03.05.03.01.02.01.05.05.05.03.01.03.02.03.05.01.04.05.0most of the day1.02.05.02.02.025.018.0173.075.00.0femaleright handedsecondary schoolyescityblock of flats
100810095.03.03.03.01.03.01.03.04.01.01.02.02.03.02.05.02.02.01.05.03.04.05.03.01.02.05.05.03.01.04.03.05.03.01.01.05.04.03.03.03.02.05.05.03.01.01.05.01.05.04.01.04.02.04.01.03.05.05.05.05.01.04.02.03.02.05.03.033.03.05.05.0tried smokingsocial drinker3.03.01.05.01.03.04.04.04.05.03.03.01.01.05.05.03.05.01.04.033.04.05.03.05.04.03.02.033.03i am often running latesometimes3.04.04.05.03.02.05.03.05.04.04.05.03.05.03.02.02.04.01.05.03.03.03.0most of the day3.02.01.05.03.033.025.0173.058.01.0femaleright handedcollege/bachelor degreenocityblock of flats
100910105.05.04.03.02.03.03.04.01.01.02.03.01.01.03.02.02.03.01.05.02.03.05.02.03.01.04.02.04.01.04.02.03.01.02.02.04.02.01.05.03.01.05.04.05.01.03.01.01.04.02.01.02.05.04.05.03.03.03.01.05.02.05.02.01.02.05.01.042.02.03.02.0tried smokingsocial drinker3.03.05.04.05.04.03.05.05.03.04.03.04.02.05.02.03.05.03.04.041.05.05.03.02.05.01.01.031.02i am often running lateeverytime it suits me1.02.02.04.02.01.01.02.02.01.02.02.04.02.04.02.03.04.01.02.02.03.05.0few hours a day5.04.02.03.01.015.021.0185.072.01.0maleright handedsecondary schoolnovillagehouse/bungalow